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1Bayesian linear regression for practitioners • Max Halford
https://maxhalford.github.io/blog/bayesian-linear-regression/
6 months ago by @becker
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bayesian
linear
regression
explained
tutorial
theory
bayesianlinearregressionexplainedtutorialtheory
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2[2102.12086] Modern Koopman Theory for Dynamical Systems
https://arxiv.org/abs/2102.12086
9 months ago by @bshanks
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koopman
linear
nonlineardynamics
koopmanlinearnonlineardynamics
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1Bayesian Linear Regression
https://gregorygundersen.com/blog/2020/02/04/bayesian-linear-regression/
a year ago by @becker
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bayesian
linear
regression
background
knowledge
integration
bayes
bayesianlinearregressionbackgroundknowledgeintegrationbayes
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1Does it have offline support? This is the one thing I'm missing the most about N... | Hacker News
https://news.ycombinator.com/item?id=33583604
a year ago by @bshanks
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linear
offline
webdev
linearofflinewebdev
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1We built Linear(https://linear.app) to be offline first from the beginning. It’s... | Hacker News
https://news.ycombinator.com/item?id=33586841
a year ago by @bshanks
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linear
linear
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1Hex 2.0: Reactivity, Graphs, and a little bit of Magic - Blog | Hex
https://hex.tech/blog/hex-two-point-oh
2 years ago by @becker
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jupyter
non
linear
graph
programming
notebook
dag
jupyternonlineargraphprogrammingnotebookdag
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1The Pain Of Real Linear Types in Rust
https://gankra.github.io/blah/linear-rust/
3 years ago by @bshanks
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linear
rust
type
linearrusttype
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1Don’t Sweat the Solver Stuff - Towards Data Science
https://towardsdatascience.com/dont-sweat-the-solver-stuff-aea7cddc3451
4 years ago by @becker
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logistic
regression
sklearn
linear
model
machine
learning
data
science
solver
python
py
logisticregressionsklearnlinearmodelmachinelearningdatasciencesolverpythonpy
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1scikit learn - logistic regression python solvers' defintions - Stack Overflow
https://stackoverflow.com/questions/38640109/logistic-regression-python-solvers-defintions
4 years ago by @becker
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logistic
regression
sklearn
solver
solvers
python
machine
learning
linear
data
science
logisticregressionsklearnsolversolverspythonmachinelearninglineardatascience
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3Common statistical tests are linear models (or: how to teach stats)
https://lindeloev.github.io/tests-as-linear/
5 years ago by @bshanks
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linear
stats
toread
linearstatstoread
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1Fix PyPi release (missing libgfortran.so.3) · Issue #38 · bbalasub1/glmnet_python
https://github.com/bbalasub1/glmnet_python/issues/38
5 years ago by @becker
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glmnet
python
py
python3
elasticnet
elastic
net
fortran
libgfortran
error
issue
hastie
linear
regression
fix
pypi
bug
github
glmnetpythonpypython3elasticnetelasticnetfortranlibgfortranerrorissuehastielinearregressionfixpypibuggithub
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1lasso - default lambda sequence in glmnet for cross-validation - Stack Overflow
https://stackoverflow.com/questions/23686067/default-lambda-sequence-in-glmnet-for-cross-validation
5 years ago by @becker
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lambda
default
elasticnet
elastic
net
ml
machine
learning
linear
model
sklearn
glmnet
R
r
lasso
ridge
lambdadefaultelasticnetelasticnetmlmachinelearninglinearmodelsklearnglmnetRrlassoridge
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1The perils of leave-one-out crossvalidation for individual difference analyses
http://www.russpoldrack.org/2012/
5 years ago by @becker
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cross
validation
leave
one
out
loo
negative
correlation
linear
regression
elastic
net
en
crossvalidationleaveoneoutloonegativecorrelationlinearregressionelasticneten
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1Response to “Perils of LOO crossvalidation”
http://not2hastie.tumblr.com/
5 years ago by @becker
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cross
validation
leave
one
out
loo
negative
correlation
linear
regression
elastic
net
en
crossvalidationleaveoneoutloonegativecorrelationlinearregressionelasticneten
(0)
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1Translation and scaling invariance in regression models
https://roamanalytics.com/2016/11/17/translation-and-scaling-invariance-in-regression-models/#Scaling-affects-regularized-regression
5 years ago by @becker
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regression
scaling
linear
regularization
center
centering
machine
learning
data
mining
regressionscalinglinearregularizationcentercenteringmachinelearningdatamining
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1Weird Paradox Says 2 Losses Equals a Win. And It Could Lead to Fast Quantum Computers.
https://www.livescience.com/63142-parrondos-paradox-quantum-computing.html?amp_js_v=0.1#amp_tf=From%20%251%24s
6 years ago by @bshanks
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compose
compositionality
game
gametheory
linear
nonlinear
paradox
parrondo
quantum
quantumsearch
randomwalk
composecompositionalitygamegametheorylinearnonlinearparadoxparrondoquantumquantumsearchrandomwalk
(0)
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1Linear and Semidefinite Programming
http://www.cs.cmu.edu/afs/cs.cmu.edu/academic/class/15859-f11/www/notes/lpsdp.pdf
6 years ago by @prathyush
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algorithms
linear
program
quadraticprograms
semidefinite
algorithmslinearprogramquadraticprogramssemidefinite
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1fastai/linalg_pytorch.ipynb at master · fastai/fastai · GitHub
fastai - The fast.ai deep learning library, lessons, and tutorials
7 years ago by @michelc
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AI
algebra
deep
learning
linear
mathematics
AIalgebradeeplearninglinearmathematics
(0)
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1ICA, Nonlinear Independent Component Analysis, Unsupervised Learning, Redundancy Reduction
http://people.idsia.ch/~juergen/ica.html
7 years ago by @becker
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non
linear
pca
ica
machine
learning
from:hotho
nonlinear
independent
component
analysis
nonlinearpcaicamachinelearningfrom:hothononlinearindependentcomponentanalysis
(0)
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3New fast.ai course: Computational Linear Algebra · fast.ai
http://www.fast.ai/2017/07/17/num-lin-alg/
7 years ago by @michelc
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GPU
Python
Pytorch
algebra
learning
linear
machine
mathematics
openSource
GPUPythonPytorchalgebralearninglinearmachinemathematicsopenSource
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1The Structure of Meaning in Language: Parallel Narratives in Linear Algebra and Category Theory
T. Bradley, and Juan Luis Gastaldi, and and John Terilla. Notices of the American Mathematical Society, 71 (2): 174--185 (February 2024)
a month ago by @jaeschke
show all tags
ai
algebra
analysis
artificial
category
concept
fca
formal
intelligence
language
linear
meaning
theory
aialgebraanalysisartificialcategoryconceptfcaformalintelligencelanguagelinearmeaningtheory
(0)
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1REALIZATION OF ECONOMIC AND MATHEMATICAL MODELING OF INFORMATION SYSTEMS
I. Xudoyqulov. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 4 (10): 17-28 (October 2023)
2 months ago by @centralasian_20
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database
information
linear
management
mathematical
model,
processing,
programming
system(DBMS),
system,
technology,
databaseinformationlinearmanagementmathematicalmodel,processing,programmingsystem(DBMS),system,technology,
(0)
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1Feature-weighted elastic net: using "features of features" for better prediction
J. Tay, N. Aghaeepour, T. Hastie, and R. Tibshirani. Statistica Sinica, 33 (1): 259--279 (January 2023)
3 months ago by @becker
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background
bki
ien
informed
integration
knowledge
learning
linear
machine
ml
regression
backgroundbkiieninformedintegrationknowledgelearninglinearmachinemlregression
(0)
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1Analysis and Modeling of Steel Square Hollow Beam to Square Hollow Column Joint
M. Khan. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 7 (4): 433-445 (August 2023)
7 months ago by @ijtsrd
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(pushover)
analysis,
capacity
curve,
hinge
hollowsphere
linear
non
plastic
sections,
(pushover)analysis,capacitycurve,hingehollowspherelinearnonplasticsections,
(0)
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1Analysis of Quality Indicators of Yarns with Mixed Composition
T. o'g'li | Mirzanazarova Dilbar Jamalovna | Khamraeva Sanovar Atoyevna. International Journal of Innovative Analyses and Emerging Technology, 3 (2): 6-10 (January 2023)
7 months ago by @openaccess_20
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Mixed
analysis
and
at
break,
coefficient
density,
dispersion
elongation
in
input
linear
models,
of
output
parameters,
regression
strength,
tensile
variation
yarns,
Mixedanalysisandatbreak,coefficientdensity,dispersionelongationininputlinearmodels,ofoutputparameters,regressionstrength,tensilevariationyarns,
(0)
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1Analysis of Linear Equations with Parameters in Python Programming Language
A. Abdugafforovna. International Journal of Discoveries and Innovations in Applied Sciences, 3 (3): 48-53 (March 2023)
7 months ago by @openaccess_20
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Parametric
equation,
linear
parametric
python
Parametricequation,linearparametricpython
(0)
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1An Application of Assignment Problem in Laptop Selection Problem Using MATLAB
G. P, and M. M. Applied Mathematics and Sciences: An International Journal (MathSJ), 2 (1): 41-49 (March 2015)
a year ago by @journalmathsj
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(ROA)
2010
90-02
90-08
90B06
90B10
90C05
90C08
90C90
Assignment
Classification:
MATLAB
Mathematics
Method
Ones
Revised
Subject
integer
linear
problem
programming
(ROA)201090-0290-0890B0690B1090C0590C0890C90AssignmentClassification:MATLABMathematicsMethodOnesRevisedSubjectintegerlinearproblemprogramming
(0)
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1EEG SIGNAL CLASSIFICATION USING LDA AND MLP CLASSIFIER
R. Atangana, D. Tchiotsop, G. Kenne, L. Chanel, and D. k. Health Informatics - An International Journal (HIIJ), 9 (1): 1-19 (2020)
a year ago by @jeffrenna
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(DWT)
(LDA)
(MLP)Classifier
Analysis
Discrete
Discriminant
EEG
Linear
Multi-Layers
Perceptron
Transform
Wavelet
(DWT)(LDA)(MLP)ClassifierAnalysisDiscreteDiscriminantEEGLinearMulti-LayersPerceptronTransformWavelet
(0)
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1On the Principle of Optimality for Linear Stochastic Dynamic System
Y. HACI, M. CANDAN, and A. OR. International Journal on Foundations of Computer Science & Technology (IJFCST), 6 (1): 7 (January 2016)
a year ago by @devino
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control
dynamic
linear
optimal
problem
ptimal
stochastic
systems
trajectory
controldynamiclinearoptimalproblemptimalstochasticsystemstrajectory
(0)
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1A Study on used Cars Price Prediction using Regression Model with Reference to Cartrade.Com
Y. Viswanath. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 6 (6): 782-789 (October 2022)
a year ago by @ijtsrd
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Kmeansclustering
Linear
Random
Regression
forest
regression
KmeansclusteringLinearRandomRegressionforestregression
(0)
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1EEG SIGNAL CLASSIFICATION USING LDA AND MLP CLASSIFIER
R. Atangana, D. Tchiotsop, G. Kenne1, L. Chanel, and DjoufackNkengfac. Health Informatics - An International Journal (HIIJ), 9 (1): 1-19 (February 2020)
2 years ago by @jeffrenna
show all tags
(DWT)
(LDA)
(MLP)Classifier
Analysis
Discrete
Discriminant
EEG
Linear
Multi-Layers
Perceptron
Transform
Wavelet
(DWT)(LDA)(MLP)ClassifierAnalysisDiscreteDiscriminantEEGLinearMulti-LayersPerceptronTransformWavelet
(0)
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4An Algorithm for Solving Linear Optimization Problems Subjected to the Intersection of Two Fuzzy Relational Inequalities Defined by Frank Family of T-Norms
A. Ghodousian*. International Journal in Foundations of Computer Science & Technology ( IJFCST ), 18 (3): 20 (May 2018)
2 years ago by @devino
show all tags
Fuzzy
compositions
fuzzy
inequality
linear
optimization
relation
relational
t-norms.
Fuzzycompositionsfuzzyinequalitylinearoptimizationrelationrelationalt-norms.
(0)
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1Multicollinearity in regression analysis: the problem revisited
D. Farrar, and R. Glauber. The Review of Economic and Statistics, (1967)
2 years ago by @msteininger
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linear
multicollinearity
regression
linearmulticollinearityregression
(0)
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1Numerical Optimization Approach for Solving Production Planning Problem Using Python language
A. Al-Jilawi. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, (2022)
2 years ago by @centralasian_20
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Optimization
Technique
linear
planning
problem
production
programming
OptimizationTechniquelinearplanningproblemproductionprogramming
(0)
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1Robust Filter Design for a Class of Uncertain Chaotic Systems and Its Circuit Implementation
Y. Sun. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 6 (1): 1735-1738 (December 2021)
2 years ago by @ijtsrd
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Robust
chaotic
convergence
exponential
filter
linear
rate
systems
uncertain
Robustchaoticconvergenceexponentialfilterlinearratesystemsuncertain
(0)
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1Influence of Spindle Speed on the Quality of Yarn on the Spinning Machine
J. Toyirov. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 6 (1): 1051-1054 (December 2021)
2 years ago by @ijtsrd
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10161
2018
DGU
Spindle
Technolab
Uster
android
app
calculator
cotton
density
fiber
linear
speed
statistics
strength
table
textile
twist
unevenness
yarn
101612018DGUSpindleTechnolabUsterandroidappcalculatorcottondensityfiberlinearspeedstatisticsstrengthtabletextiletwistunevennessyarn
(0)
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1Identifying the Key Factors of Training Technical School and College Teachers in Bangladesh Using Data Mining
M. Rabbani. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 6 (1): 864-869 (December 2021)
2 years ago by @ijtsrd
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&
Analysis
Bangladesh
Bayes
Bureau
Classifier
College
Data
Decision
Discriminant
Evaluation
Extra
Forest
Instructors
K
Key
Learning
Linear
Logistic
Machine
Mining
Naive
Neighbors
Processing
Random
Regression
School
Statistics
Teachers
Technical
Tree
Trees
factors
of
&AnalysisBangladeshBayesBureauClassifierCollegeDataDecisionDiscriminantEvaluationExtraForestInstructorsKKeyLearningLinearLogisticMachineMiningNaiveNeighborsProcessingRandomRegressionSchoolStatisticsTeachersTechnicalTreeTreesfactorsof
(0)
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1Dielectric function spectra from a nondegenerate polaron gas
C. Barboza, E. Albuquerque, C. Chesman, and V. Freire. PHYSICS LETTERS A, 365 (5-6): 478-482 (2007)
2 years ago by @ppgfis_ufc_br
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dielectric
electron-phonon
function;
function}
interaction;
linear
polarons;
response
{small
dielectricelectron-phononfunction;function}interaction;linearpolarons;response{small
(0)
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1Relationship between hydrogeological parameters for data-scarce regions: the case of the Araripe sedimentary basin, Brazil
S. de Fontenele, L. Mendonca, J. de Araujo, M. Santiago, and J. de Brito Goncalves. ENVIRONMENTAL EARTH SCIENCES, 71 (2, SI): 885-894 (2014)
2 years ago by @ppgfis_ufc_br
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Geostatistic}
Kriging;
Linear
Specific
capacity;
conductivity;
relationship;
{Hydraulic
Geostatistic}Kriging;LinearSpecificcapacity;conductivity;relationship;{Hydraulic
(0)
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1Highly sensitive sensing of food additives based on fluorescent carbon quantum dots
S. V, M. Holanda, H. Cunha, J. Oliveira, S. Pontes, A. Cruz, L. Fechine, T. Moura, A. Paschoal, R. Zambelli and 2 other author(s). JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY A-CHEMISTRY, (2021)
2 years ago by @ppgfis_ufc_br
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Fluorescence;
Food
Linear
Pickled
Sensing
additives;
analysis;
discriminant
dots;
olives}
platform;
quantum
{Carbon
Fluorescence;FoodLinearPickledSensingadditives;analysis;discriminantdots;olives}platform;quantum{Carbon
(0)
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2As-Projective-As-Possible Image Stitching with Moving DLT
J. Zaragoza, T. Chin, Q. Tran, M. Brown, and D. Suter. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36 (7): 1285-1298 (July 2014)
2 years ago by @dsuter
show all tags
Alignment;Image
DLT;moving
Least
Linear
Squares;Projective
Stitching;Image
Transformation;Image
Warps;direct
adjustment;estimation
alignment;as-projective-as-possible
alignment;moving
approximations;photography;transforms;2D
artifacts;moving
creation;photos;projective
direct
displays;Yarn;Direct
image
institutions;Estimation;Extrapolation;Three-dimensional
least
linear
processing;least
projective
realism;ghosting;homographies;image
squares
squares;panorama
squares;projective
stitching
stitching;Moving
stitching;as-projective-as-possible
technique;geometric
tools;misalignment
transformation;image
transformation;moving
transforms;as-projective-as-possible
warp;Cameras;Educational
warps
warps;bundle
Alignment;ImageDLT;movingLeastLinearSquares;ProjectiveStitching;ImageTransformation;ImageWarps;directadjustment;estimationalignment;as-projective-as-possiblealignment;movingapproximations;photography;transforms;2Dartifacts;movingcreation;photos;projectivedirectdisplays;Yarn;Directimageinstitutions;Estimation;Extrapolation;Three-dimensionalleastlinearprocessing;leastprojectiverealism;ghosting;homographies;imagesquaressquares;panoramasquares;projectivestitchingstitching;Movingstitching;as-projective-as-possibletechnique;geometrictools;misalignmenttransformation;imagetransformation;movingtransforms;as-projective-as-possiblewarp;Cameras;Educationalwarpswarps;bundle
(0)
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2As-Projective-As-Possible Image Stitching with Moving DLT
J. Zaragoza, T. Chin, M. Brown, and D. Suter. 2013 IEEE Conference on Computer Vision and Pattern Recognition, page 2339-2346. (June 2013)
2 years ago by @dsuter
show all tags
DLT;as-projective-as-possible
DLT;moving
Least
Squares
Stitching;Moving
algorithms;estimation
artefacts;image
conditions;model
deghosting;projective
direct
estimation;Moving
estimation;projective
hoc
image
inadequacies;moving
line
linear
matrix
methods;Vectors;DLT;Image
model;projective
models;Estimation;Extrapolation;Transmission
processing;motion
regions;imaging
stitching;as-projective-as-possible
technique;ghosting
transformation;post
warp;Cameras;Coplanar
warps;deghosting
waveguides;Data
DLT;as-projective-as-possibleDLT;movingLeastSquaresStitching;Movingalgorithms;estimationartefacts;imageconditions;modeldeghosting;projectivedirectestimation;Movingestimation;projectivehocimageinadequacies;movinglinelinearmatrixmethods;Vectors;DLT;Imagemodel;projectivemodels;Estimation;Extrapolation;Transmissionprocessing;motionregions;imagingstitching;as-projective-as-possibletechnique;ghostingtransformation;postwarp;Cameras;Coplanarwarps;deghostingwaveguides;Data
(0)
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4AN ALGORITHM FOR SOLVING LINEAR OPTIMIZATION PROBLEMS SUBJECTED TO THE INTERSECTION OF TWO FUZZY RELATIONAL INEQUALITIES DEFINED BY FRANK FAMILY OF T-NORMS
A. Ghodousian. International Journal in Foundations of Computer Science & Technology (IJFCST), 8 (03): 01-20 (May 2018)
2 years ago by @devino
show all tags
Fuzzy
and
compositions
fuzzy
inequality
linear
optimization
relation
relational
t-norms
Fuzzyandcompositionsfuzzyinequalitylinearoptimizationrelationrelationalt-norms
(0)
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1Data Processing System for LP and their uses in Modern Days
A. Sinha, K. Mukesh, and U. Shankar. International Journal of Innovative Science and Modern Engineering (IJISME), 2 (10): 1-4 (September 2014)
3 years ago by @ijisme_beiesp
show all tags
&
2010:
90C05
AMS
Classification
Linear
Programming
Subject
approximation.
data
flows
in
linear
&2010:90C05AMSClassificationLinearProgrammingSubjectapproximation.dataflowsinlinear
(1)
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2SARNA-Predict: Accuracy Improvement of RNA Secondary Structure Prediction Using Permutation-Based Simulated Annealing
H. Tsang, and K. Wiese. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 7 (4): 727-740 (October 2010)
3 years ago by @herberttsang
show all tags
Acid
Analysis,
Annealing;Thermodynamic
Biology;Nucleic
Conformation;RNA;Sequence
Models;permutation;ribonucleic
Pairing;Computational
Prediction;RNA
RNA;Software
Secondary
Structure
accounting;Dynamic
accuracy;SARNA-Predict;base
acid;simulated
acid;single-stranded
algorithm;homeostatic
algorithms;Predictive
annealing.;Algorithms;Base
annealing;RNA
annealing;ribonucleic
annealing;thermodynamics;RNA
biology
biophysics;organic
compounds;performance
computing;dynamic
evaluation;permutation-based
evaluation;sampling
folding;RNA
interactions;dynamic
linear
methods;Simulated
methods;simulated
model;Accuracy;Biological
modeling;Biological
models;RNA;Sampling
molecule;statistical
pair
prediction
prediction;Simulated
processes;performance
programming;Prediction
programming;efn2;heuristic
programming;heuristic
programming;molecular
sampling;thermodynamic
secondary
simulated
structure
system
systems;Cost
tsang_pub
AcidAnalysis,Annealing;ThermodynamicBiology;NucleicConformation;RNA;SequenceModels;permutation;ribonucleicPairing;ComputationalPrediction;RNARNA;SoftwareSecondaryStructureaccounting;Dynamicaccuracy;SARNA-Predict;baseacid;simulatedacid;single-strandedalgorithm;homeostaticalgorithms;Predictiveannealing.;Algorithms;Baseannealing;RNAannealing;ribonucleicannealing;thermodynamics;RNAbiologybiophysics;organiccompounds;performancecomputing;dynamicevaluation;permutation-basedevaluation;samplingfolding;RNAinteractions;dynamiclinearmethods;Simulatedmethods;simulatedmodel;Accuracy;Biologicalmodeling;Biologicalmodels;RNA;Samplingmolecule;statisticalpairpredictionprediction;Simulatedprocesses;performanceprogramming;Predictionprogramming;efn2;heuristicprogramming;heuristicprogramming;molecularsampling;thermodynamicsecondarysimulatedstructuresystemsystems;Costtsang_pub
(0)
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1Data Analysis of "Double Eleven" Shopping Section Based on Regression Model
Y. Song, and F. Chen. International Journal of Innovative Science and Modern Engineering (IJISME), 5 (5): 4-6 (May 2018)
3 years ago by @ijisme_beiesp
show all tags
"Double
Consumer
Eleven"
Goods
Linear
Model
Regression
Retail
Sales
Total
of
"DoubleConsumerEleven"GoodsLinearModelRegressionRetailSalesTotalof
(1)
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1Optimization and Empirical Analysis of Portfolio Model
R. Zhang, and F. Chen. International Journal of Innovative Science and Modern Engineering (IJISME), 5 (5): 1-3 (May 2018)
3 years ago by @ijisme_beiesp
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Analysis.
Empirical
Linear
Mathematical
Model
Modeling
Optimization
Portfolio
Programming
of
Analysis.EmpiricalLinearMathematicalModelModelingOptimizationPortfolioProgrammingof
(1)
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1Analysis and Forecast of Consumer Price Index
S. Xiong, and L. Tan. International Journal of Innovative Science and Modern Engineering (IJISME), 5 (6): 5-7 (June 2018)
3 years ago by @ijisme_beiesp
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Analysis
Consumer
Eviews
Forecast
Index
Linear
Price
Regression
AnalysisConsumerEviewsForecastIndexLinearPriceRegression
(1)
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1Factors affecting in the hotel price at Booking.com. The case of Santiago, Chile Factores que influyen en el precio de hoteles en booking.com. El Caso de Santiago de Chile
C. Mondaca-Marino, C. Guala, A. Montecinos-Astorga, and C. Concha. Informacion Tecnologica, 30 (1): 87-96 (2019)cited By 1.
3 years ago by @cristiansalazar
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,
Booking.com,
Chile,
Chile;
Corrective
Costs;
Hotels
Information
Lodging
Multivariate
Positive
Regression
Santiago
actions;
analysis,
asymmetry;
correlations;
de
linear
model;
prices;
regression
tourism;
,Booking.com,Chile,Chile;CorrectiveCosts;HotelsInformationLodgingMultivariatePositiveRegressionSantiagoactions;analysis,asymmetry;correlations;delinearmodel;prices;regressiontourism;
(0)
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1Accuracy Assessment of the Urban Land Surface Temperature Calculation Based on Landsat-8/Oli Data (Case Study: Coyhaique, Chile)
K. Verichev, P. Mikhaylyukova, A. Salimova, C. Salazar, and M. Carpio. (2019)cited By 0; Conference of 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 ; Conference Date: 28 July 2019 Through 2 August 2019; Conference Code:154792.
3 years ago by @cristiansalazar
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Accuracy
Atmospheric
Chile;
Geology;
LANDSAT;
Land
Linear
NETATMO;
Remote
Surface
Urban
areas;
assessment;
land
properties,
relationships;
sensing;
surface
temperature
temperature,
temperature;
temperatures;
AccuracyAtmosphericChile;Geology;LANDSAT;LandLinearNETATMO;RemoteSurfaceUrbanareas;assessment;landproperties,relationships;sensing;surfacetemperaturetemperature,temperature;temperatures;
(0)
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1Regularization and variable selection via the elastic net
H. Zou, and T. Hastie. Journal of the royal statistical society: series B (statistical methodology), 67 (2): 301--320 (2005)
3 years ago by @becker
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citedby:scholar:count:14202
citedby:scholar:timestamp:2021-7-25
elastic
learning
linear
machine
model
net
um1
citedby:scholar:count:14202citedby:scholar:timestamp:2021-7-25elasticlearninglinearmachinemodelnetum1
(0)
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1Prediction of Car Price using Linear Regression
R. Rengarajan. International Journal of Trend in Scientific Research and Development, 5 (4): 866-869 (June 2021)
3 years ago by @ijtsrd
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CV
Multiple
Random
Randomized
Supervised
and
forest
learning
linear
regression
search
CVMultipleRandomRandomizedSupervisedandforestlearninglinearregressionsearch
(0)
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1House Price Estimates Based on Machine Learning Algorithm
J. D. International Journal of Trend in Scientific Research and Development, 5 (4): 795-799 (June 2021)
3 years ago by @ijtsrd
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Learning
Linear
Machine
Regression
algorithm
LearningLinearMachineRegressionalgorithm
(0)
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2Cross-Lingual Speaker Adaptation for HMM-Based Speech Synthesis
Y. Wu, S. King, and K. Tokuda. 6th International Symposium on Chinese Spoken Language Processing, page 1--4. IEEE, (December 2008)
3 years ago by @m-toman
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Adaptation
Chinese
Markov
adaptation,one-to-one
analysis,source
based
context-dependent
data,Maximum
languages,Speech
likelihood
linear
mapping-
mappings,one-to-sequence
mappings,phone
method,phonetic-and-prosodic-
model,Context
model,speech
model,triphone
modeling,English,HMM-based
models
models,Loudspeakers,Mandarin
models,regression
processing,target
recognition,Speech
recognition,cross-lingual
regression,Natural
speaker
speech
synthesis,Hidden
synthesis,Stress,Target
voice
AdaptationChineseMarkovadaptation,one-to-oneanalysis,sourcebasedcontext-dependentdata,Maximumlanguages,Speechlikelihoodlinearmapping-mappings,one-to-sequencemappings,phonemethod,phonetic-and-prosodic-model,Contextmodel,speechmodel,triphonemodeling,English,HMM-basedmodelsmodels,Loudspeakers,Mandarinmodels,regressionprocessing,targetrecognition,Speechrecognition,cross-lingualregression,Naturalspeakerspeechsynthesis,Hiddensynthesis,Stress,Targetvoice
(0)
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2A Style Adaptation Technique for Speech Synthesis Using HSMM and Suprasegmental Features
M. Tachibana, J. Yamagishi, T. Masuko, and T. Kobayashi. IEICE Transactions on Information and Systems, E89-D (3): 1092-1099 (March 2006)
3 years ago by @m-toman
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(HSMM),
(MLLR)
HMM-based
adaptation,
emotional
expression,
hidden
likelihood
linear
maximum
model
regression
semi-Markov
speaking
speech
style
style,
synthesis,
(HSMM),(MLLR)HMM-basedadaptation,emotionalexpression,hiddenlikelihoodlinearmaximummodelregressionsemi-Markovspeakingspeechstylestyle,synthesis,
(0)
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1Relationship between body weight and linear body measurements in the Cobb broiler chicken
A. Sadick, G. Aryee, P. Jnr, and C. Kyere. World Journal of Biology Pharmacy and Health Sciences, 4 (2): 001-006. (November 2020)
3 years ago by @wjbphsjournal
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Linear
body
measurements
Linearbodymeasurements
(0)
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1An updated set of basic linear algebra subprograms (BLAS)
L. Blackford, A. Petitet, R. Pozo, K. Remington, R. Whaley, J. Demmel, J. Dongarra, I. Duff, S. Hammarling, G. Henry and 1 other author(s). ACM Transactions on Mathematical Software, 28 (2): 135--151 (2002)
3 years ago by @becker
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algebra
implementation
imported
linear
optimized
paper:fastcor
routine
routines
algebraimplementationimportedlinearoptimizedpaper:fastcorroutineroutines
(0)
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3LAPACK Users' Guide
E. Anderson, Z. Bai, C. Bischof, S. Blackford, J. Demmel, J. Dongarra, J. Du Croz, A. Greenbaum, S. Hammarling, A. McKenney and 1 other author(s). Society for Industrial and Applied Mathematics, Philadelphia, PA, Third edition, (1999)
3 years ago by @becker
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algebra
implementation
imported
linear
optimized
paper:fastcor
routine
routines
algebraimplementationimportedlinearoptimizedpaper:fastcorroutineroutines
(0)
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1The System of Innovation and its Impact on Economic Development
T. B. International Journal of Trend in Scientific Research and Development, 4 (6): 19-21 (October 2020)
3 years ago by @ijtsrd
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analyzes
angel
economic
economics
funds
innovation
innovational
investment
investors
linear
logarithmic
mechanism
national
regression
service
system
venture
analyzesangeleconomiceconomicsfundsinnovationinnovationalinvestmentinvestorslinearlogarithmicmechanismnationalregressionservicesystemventure
(0)
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1CLIENT PERFORMANCE PREDICTIONS FOR PRIVATE BLOCKCHAIN NETWORKS
L. Jánoky, J. Levendovszky, and P. Ekler. International Journal of Computer Networks & Communications (IJCNC), 12 (5): 97-107 (September 2020)
3 years ago by @laimbee
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Blockchain
Linear
Performance
Private
blockchain
networks
prediction
predictors
BlockchainLinearPerformancePrivateblockchainnetworkspredictionpredictors
(0)
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1The linear stability of the Schwarzschild solution to gravitational perturbations
M. Dafermos, G. Holzegel, and I. Rodnianski. Acta Mathematica, 222 (1): 1--214 (2019)
3 years ago by @igorkhavkine
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black-hole
double-null-foliation
gr
linear
null-surface
pde
perturbations
schwarzschild
stability
black-holedouble-null-foliationgrlinearnull-surfacepdeperturbationsschwarzschildstability
(0)
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1Gold Price Prediction using Machine Learning
D. Kumari. International Journal of Trend in Scientific Research and Development, 4 (5): 1448-1456 (August 2020)
4 years ago by @ijtsrd
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Computers
ETF
EngineeringGold
Learning
Linear
Machine
Price
Python
Regression
Supervised
prediction
ComputersETFEngineeringGoldLearningLinearMachinePricePythonRegressionSupervisedprediction
(0)
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1Performance Analysis of Different Radiation Pattern using Genetic Algorithm
R. Patidar. International Journal of Trend in Scientific Research and Development, 4 (5): 874-877 (August 2020)
4 years ago by @ijtsrd
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&
Algorithm
Antenna
Array
Communication
EMI
Electromagnetic
Electronics
Engineering
GA
Genetic
Interference
Level
Linear
Lobe
Pattern
Radiation
SLL
Side
&AlgorithmAntennaArrayCommunicationEMIElectromagneticElectronicsEngineeringGAGeneticInterferenceLevelLinearLobePatternRadiationSLLSide
(0)
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1Temperature Control of Stirred Tank Heater using Optimal Control Technique
E. Mustefa Jibril 1, Messay Tadese 2. Researcher Journal, 12 (9): 1-6 (September 2020)
4 years ago by @mustefa1981
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Gaussian,
Integral
Linear
Quadratic
Stirred
heater,
tank
Gaussian,IntegralLinearQuadraticStirredheater,tank
(0)
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1Design and Simulation of a Steam Turbine Generator using Observer Based and LQR Controllers
E. Mustefa Jibril 1, Messay Tadese 2. Researcher Journal, 12 (6): 17-21 (June 2020)
4 years ago by @mustefa1981
show all tags
Generator,
Observer
Steam
based
controller,
linear
quadratic
regulator
turbine,
Generator,ObserverSteambasedcontroller,linearquadraticregulatorturbine,
(0)
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1Modelling Design and Control of an Electromechanical Mass Lifting System using Optimal and Robust control Method
E. Mustefa Jibril 1, Messay Tadese 2. Researcher Journal, 12 (6): 52-57 (June 2020)
4 years ago by @mustefa1981
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control
control,
linear
optimal
quadratic
regulator,
robust
μ
–synthesis,
controlcontrol,linearoptimalquadraticregulator,robustμ–synthesis,
(0)
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1Quarter Car Active Suspension System Design using Optimal and Robust Control Method
E. Mustefa Jibril 1. Report and Opinion Journal, 12 (6): 19-25 (June 2020)
4 years ago by @mustefa1981
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Quarter
active
car
control,
linear
optimal
quadratic
regulator
robust
suspension
system,
Quarteractivecarcontrol,linearoptimalquadraticregulatorrobustsuspensionsystem,
(0)
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1Performance Investigation of Hydraulic Actuator Based Mass Lift System using MPC and LQR Controllers
E. Mustefa Jibril 1, Messay Tadese 2. Researcher Journal, 12 (7): 1-5 (July 2020)
4 years ago by @mustefa1981
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(LQR)
(MPC),
Hydraulic
Model
actuator,
control
linear
predictive
quadratic
regulator
(LQR)(MPC),HydraulicModelactuator,controllinearpredictivequadraticregulator
(0)
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1Body Travel Performance Improvement of Space Vehicle Electromagnetic Suspension System using LQG and LQI Control Methods
E. Mustefa Jibril1, Messay Tadese2. Researcher Journal, 12 (5): 70-75 (May 2020)
4 years ago by @mustefa1981
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Electromagnetic
Gaussian,
integral
linear
quadratic
suspension
system,
ElectromagneticGaussian,integrallinearquadraticsuspensionsystem,
(0)
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2Counting Linear Extensions is #P-Complete
G. Brightwell, and P. Winkler. STOC, page 175-181. ACM, (1991)
4 years ago by @tom.hanika
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complexity
extension
linear
number
order
complexityextensionlinearnumberorder
(0)
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1Categorization of Protean Writers by Exploitation of Raspberry Pi
P. Ghose. International Journal of Trend in Scientific Research and Development, 4 (4): 1104-1109 (June 2020)
4 years ago by @ijtsrd
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Analysis
Bangla
Bangladeshi
Component
Computers
Data
Engineering
Frequency
Inverse
Linear
Principal
Python
SVM
Term
West
AnalysisBanglaBangladeshiComponentComputersDataEngineeringFrequencyInverseLinearPrincipalPythonSVMTermWest
(0)
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1Qualitative Understanding of Flattening the Curve Term in Context of COVID 19
G. Kulkarni. International Journal of Trend in Scientific Research and Development, 4 (4): 228-230 (May 2020)
4 years ago by @ijtsrd
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COVID-19
Cumulative
Curve
Flatten
Linear
Logarithmic
Statistics
COVID-19CumulativeCurveFlattenLinearLogarithmicStatistics
(0)
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1Design and Simulation of a Steam Turbine Generator using Observer Based and LQR Controllers
E. Mustefa Jibril, Messay Tadese. Researcher, 12 (6): 17-21 (June 2020)
4 years ago by @mustefa1981
show all tags
Generator,
Observer
Steam
based
controller,
linear
quadratic
regulator
turbine,
Generator,ObserverSteambasedcontroller,linearquadraticregulatorturbine,
(0)
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2Dimensionality reduction using the sparse linear model
I. Gkioulekas, and T. Zickler. Advances in neural information processing systems, page 271--279. (2011)
4 years ago by @becker
show all tags
toread
linear
model
reduction
sparse
citedby:scholar:count:35
citedby:scholar:timestamp:2020-6-27
toreadlinearmodelreductionsparsecitedby:scholar:count:35citedby:scholar:timestamp:2020-6-27
(0)
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1Interpretation of Sadhu into Cholit Bhasha by Cataloguing and Translation System
N. Kumar. International Journal of Trend in Scientific Research and Development, 4 (3): 1123-1130 (March 2020)
4 years ago by @ijtsrd
show all tags
Analysis
Cholit
Component
Data
Discriminant
Frequency
Inverse
Learning
Linear
Machine
Principal
Sadhu
Term
AnalysisCholitComponentDataDiscriminantFrequencyInverseLearningLinearMachinePrincipalSadhuTerm
(0)
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2ZINC OXIDE ARRESTERS : PRINCIPLE, PROTECTION CHARACTERISTICS, TESTS AND EXPERIENCE
U. BURGER, and B. KNECHT. (1980)
4 years ago by @ceps
show all tags
Gapless
Lightning
Non
Protection
Switching
Temporary
Zinc
arrester
level
linear
overvoltages
oxide
resistance
GaplessLightningNonProtectionSwitchingTemporaryZincarresterlevellinearovervoltagesoxideresistance
(0)
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2ZINC OXIDE ARRESTERS : PRINCIPLE, PROTECTION CHARACTERISTICS, TESTS AND EXPERIENCE
U. BURGER, and B. KNECHT. (1980)
4 years ago by @chkokalis
show all tags
Gapless
Lightning
Non
Protection
Switching
Temporary
Zinc
arrester
level
linear
overvoltages
oxide
resistance
GaplessLightningNonProtectionSwitchingTemporaryZincarresterlevellinearovervoltagesoxideresistance
(0)
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1Body Travel Performance Improvement of Space Vehicle Electromagnetic Suspension System using LQG and LQI Control Methods
E. Mustefa Jibril, Messay Tadese. Researcher Journal, 12 (5): 70-75 (May 2020)
4 years ago by @mustefa1981
show all tags
Electromagnetic
Gaussian,
integral
linear
quadratic
suspension
system,
ElectromagneticGaussian,integrallinearquadraticsuspensionsystem,
(0)
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1Prediction of Radon Concentration after 24 Hours using Multiple Linear Regression Analysis
D. Kim. International Journal of Trend in Scientific Research and Development, 4 (2): 628-631 (January 2020)
4 years ago by @ijtsrd
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Electrical
Engineering
concentration
humidity
linear
multiple
prediction
radon
regressions
temperature
ElectricalEngineeringconcentrationhumiditylinearmultiplepredictionradonregressionstemperature
(0)
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1LMS-2: Towards an Algorithm that is as Cheap as LMS and Almost as Efficient as RLS
H. Yao, S. Bhatnagar, and {. Szepesvári. CDC, page 1181--1188. (2009)
4 years ago by @csaba
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approximation,
linear
prediction
stochastic
two-timescale
approximation,linearpredictionstochastictwo-timescale
(0)
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1Regret Bounds for the Adaptive Control of Linear Quadratic Systems
Y. Abbasi-Yadkori, and {. Szepesvári. COLT, page 1--26. (July 2011)
4 years ago by @csaba
show all tags
MDPs,
action
continuous
continuous-space
dynamics,
learning,
linear
online
reinforcement
space,
theory
MDPs,actioncontinuouscontinuous-spacedynamics,learning,linearonlinereinforcementspace,theory
(0)
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1Improved Algorithms for Linear Stochastic Bandits (extended, corrected version)
Y. Abbasi-Yadkori, D. Pál, and {. Szepesvári. NIPS, page 2312--2320. (December 2011)
4 years ago by @csaba
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bandits,
learning
linear
online
stochastic
theory,
bandits,learninglinearonlinestochastictheory,
(0)
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1Online-to-confidence-set conversions and application to sparse stochastic bandits
Y. Abbasi-Yadkori, D. Pál, and {. Szepesvári. AISTATS, page 1--9. (2012)
4 years ago by @csaba
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bandits
bandits,
learning,
linear
online
stochastic
theory,
banditsbandits,learning,linearonlinestochastictheory,
(0)
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1Statistical linear estimation with penalized estimators: an application to reinforcement learning
B. Pires, and {. Szepesvári. ICML, page 1535--1542. (June 2012)
4 years ago by @csaba
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LSTD,
bounds,
inverse
learning,
linear
performance
prediction,
problems
reinforcement
theory,
LSTD,bounds,inverselearning,linearperformanceprediction,problemsreinforcementtheory,
(0)
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1Least Squares Temporal Difference Learning and Galerkin's Method
{. Szepesvári. Mini-Workshop: Mathematics of Machine Learning, volume 8 of Oberwolfach Reports, European Mathematical Society, Oberwolfach, (2011)
4 years ago by @csaba
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LSTD
inverse
learning,
linear
prediction,
problems,
reinforcement
theory,
LSTDinverselearning,linearprediction,problems,reinforcementtheory,
(0)
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1Pseudo-MDPs and Factored Linear Action Models
H. Yao, {. Szepesvári, B. Pires, and X. Zhang. IEEE ADPRL, page 189--197. (October 2014)
4 years ago by @csaba
show all tags
Decision
Markov
Processes,
RL,
abstraction,
approximation,
control
control,
factored
function
learning,
linear
model-based
models,
planning,
pseudo-MDPs
reinforcement
DecisionMarkovProcesses,RL,abstraction,approximation,controlcontrol,factoredfunctionlearning,linearmodel-basedmodels,planning,pseudo-MDPsreinforcement
(0)
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1Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits
B. Kveton, Z. Wen, A. Ashkan, and {. Szepesvári. AISTATS, page 535--543. (2015)
4 years ago by @csaba
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bandits,
combinatorial
learning,
linear
online
semi-bandits
stochastic
theory,
bandits,combinatoriallearning,linearonlinesemi-banditsstochastictheory,
(0)
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1Linear Multi-Resource Allocation with Semi-Bandit Feedback
T. Lattimore, K. Crammer, and {. Szepesvári. NIPS, page 964--972. (September 2015)
4 years ago by @csaba
show all tags
allocation,
bandits
bandits,
information,
learning,
linear
monitoring,
online
partial
resource
stochastic
theory,
allocation,banditsbandits,information,learning,linearmonitoring,onlinepartialresourcestochastictheory,
(0)
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1Policy Error Bounds for Model-Based Reinforcement Learning with Factored Linear Models
B. Pires, and {. Szepesvári. COLT, page 121--151. (2016)
4 years ago by @csaba
show all tags
Decision
Markov
Processes,
RL,
abstraction,
approximation,
control
control,
factored
function
learning,
linear
model-based
models,
planning,
pseudo-MDPs
reinforcement
DecisionMarkovProcesses,RL,abstraction,approximation,controlcontrol,factoredfunctionlearning,linearmodel-basedmodels,planning,pseudo-MDPsreinforcement
(0)
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1Stochastic Rank-1 Bandits (long version)
S. Katariya, B. Kveton, {. Szepesvári, C. Vernade, and Z. Wen. AISTATS, volume 54 of PMLR, page 392--401. (April 2017)
4 years ago by @csaba
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bandits
bandits,
linear
matrix
stochastic
structured
banditsbandits,linearmatrixstochasticstructured
(0)
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1The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear Bandits (long version)
T. Lattimore, and {. Szepesvári. AISTATS, volume 54 of PMLR, page 728--737. (April 2017)
4 years ago by @csaba
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asymptotic
bandits,
dependent
instance
linear
optimality,
regret
regret,
stochastic
structured
asymptoticbandits,dependentinstancelinearoptimality,regretregret,stochasticstructured
(0)
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1Following the Leader and Fast Rates in Online Linear Prediction: Curved Constraint Sets and Other Regularities
R. Huang, T. Lattimore, A. György, and {. Szepesvári. Journal of Machine Learning Research, (2017)
4 years ago by @csaba
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learning,
linear
online
prediction
learning,linearonlineprediction
(0)
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1Multi-view Matrix Factorization for Linear Dynamical System Estimation
M. Karami, M. White, D. Schuurmans, and {. Szepesvári. NIPS, page 7092--7101. (2017)
4 years ago by @csaba
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dynamical
dynamics,
identification,
linear
model
system
systems,
two-view
dynamicaldynamics,identification,linearmodelsystemsystems,two-view
(0)
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1Model-Free Linear Quadratic Control via Reduction to Expert Prediction
Y. Abbasi-Yadkori, N. Lazic, and {. Szepesvári. AISTATS, (2019)
4 years ago by @csaba
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Decision
LQR
Markov
Processes,
dynamical
exploitation,
exploration
learning,
linear
online
systems,
theory,
vs.
DecisionLQRMarkovProcesses,dynamicalexploitation,explorationlearning,linearonlinesystems,theory,vs.
(0)
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1Online Learning to Rank with Features
S. Li, T. Lattimore, and {. Szepesvári. ICML, page 3856--3865. (May 2019)
4 years ago by @csaba
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bandits,
finite-armed
information,
learning
learning,
linear
online
partial
rank,
ranking,
stochastic
to
bandits,finite-armedinformation,learninglearning,linearonlinepartialrank,ranking,stochasticto
(0)
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1Perturbed-History Exploration in Stochastic Linear Bandits
B. Kveton, {. Szepesvári, M. Ghavamzadeh, and C. Boutilier. UAI, (July 2019)
4 years ago by @csaba
show all tags
bandits
bandits,
finite-armed
follow-the-perturbed-leader,
linear
randomization,
stochastic
banditsbandits,finite-armedfollow-the-perturbed-leader,linearrandomization,stochastic
(0)
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1Randomized Exploration in Generalized Linear Bandits
B. Kveton, M. and Zaheer, {. Szepesvári, L. Li, M. Ghavamzadeh, and C. Boutilier. AISTATS, (March 2020)
4 years ago by @csaba
show all tags
Thompson
bandit,
bandits,
finite-armed
follow-the-perturbed-leader,
generalized
linear
randomization,
sampling
stochastic
Thompsonbandit,bandits,finite-armedfollow-the-perturbed-leader,generalizedlinearrandomization,samplingstochastic
(0)
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1Adaptive Exploration in Linear Contextual Bandit
B. Hao, T. Lattimore, and {. Szepesvári. AISTATS, (March 2020)
4 years ago by @csaba
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adaptivity
asymptotic
bandits,
contextual
finite-armed
linear
optimality,
regret,
stochastic
adaptivityasymptoticbandits,contextualfinite-armedlinearoptimality,regret,stochastic
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1IMPROVED WORKLOAD BALANCING OF THE SCHEDULING JOBS WITH THE RELEASE DATES IN IDENTICAL PARALLEL MACHINES
A. Hussien. International Journal of Computer Science, Engineering and Applications (IJCSEA), 9 (6): 1-13 (December 2019)
4 years ago by @ijcsea
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Balancing
Date
Identical
Jobs
Linear
Machine
Parallel
Programming.
Release
Scheduling
Workload
BalancingDateIdenticalJobsLinearMachineParallelProgramming.ReleaseSchedulingWorkload
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1The restricted influence of kinematic hardening on shakedown loads
M. Staat, and M. Heitzer. Proceedings of WCCM V, Fifth World Congress on Computational Mechanics, July 7-12, 2002, Vienna, Austria, page 10. (2002)
4 years ago by @staat
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hardening,material
hardening,ratcheting,shakedown
kinematic
linear
shakedown,nonlinear
hardening,materialhardening,ratcheting,shakedownkinematiclinearshakedown,nonlinear
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1Trend and Recovery of the Total Ozone Column in South America and Antarctica
R. Toro, C. Araya, F. Labra, L. Morales, R. Morales, and M. Leiva. Climate Dynamics, 49 (11-12): 3735-3752 (2017)
4 years ago by @dqcauchile
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analysis,
arosa
atmospheric
chemistry,
column,
cycle,
decadal
depletion,
dqcauchile
dynamics,
estimator,
events,
extratropical
extreme
interannual
linear
long-term
multiple
oscillation,
ozone
ozone,
punta-arenas,
quasi-biennial
regression,
sunspot
theil-sen
total
trend
variability,
variation,
analysis,arosaatmosphericchemistry,column,cycle,decadaldepletion,dqcauchiledynamics,estimator,events,extratropicalextremeinterannuallinearlong-termmultipleoscillation,ozoneozone,punta-arenas,quasi-biennialregression,sunspottheil-sentotaltrendvariability,variation,
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1Mobile Phone Selection Problem Solved by an Unbalanced Assignment Model by using ROA Method with Ghadle and Muley Rule in Mat Lab
G. M. International Journal of Trend in Scientific Research and Development, 3 (6): 1065-1071 (October 2019)
4 years ago by @ijtsrd
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(ROA)
Assignment
Ghadle
Linear
Matlab
Muley
and
assignment
coding
integer
method
one's
problem
programing
revised
rule
with
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1Comparison of Gauss Jacobi Method and Gauss Seidel Method using Scilab
S. Ramesh. International Journal of Trend in Scientific Research and Development, 3 (6): 1051-1053 (October 2019)
4 years ago by @ijtsrd
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Gauss
Jacobi
Linear
Method
Seidel
and
equation
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4Detecting Novel Associations in Large Data Sets
D. Reshef, Y. Reshef, H. Finucane, S. Grossman, G. McVean, P. Turnbaugh, E. Lander, M. Mitzenmacher, and P. Sabeti. Science, 334 (6062): 1518--1524 (2011)
5 years ago by @becker
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association
corr
correlation
correlations
data
distance
large
linear
measure
nalab
non
nonlinear
paper:cordis
paper:fastcor
set
um1
associationcorrcorrelationcorrelationsdatadistancelargelinearmeasurenalabnonnonlinearpaper:cordispaper:fastcorsetum1
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1Linear Regressions of Predicting Rainfall over Kalay Region
O. Myint. International Journal of Trend in Scientific Research and Development, 3 (5): 1681-1685 (August 2019)
5 years ago by @ijtsrd
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Computational
Science
empirical
level
linear
predicting
rainfall
regression
statistical
technique
water
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1Food Intake for Body Weight Management System using Linear Programming Model
P. Swe. International Journal of Trend in Scientific Research and Development, 3 (5): 1623-1627 (August 2019)
5 years ago by @ijtsrd
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Cognitive
Science
body
linear
management
programming
weight
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1Predition Model for Stock Price on Big Data Analytics
T. Thein. International Journal of Trend in Scientific Research and Development, 3 (5): 1444-1446 (August 2019)
5 years ago by @ijtsrd
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(ANN)
(MLR)
(SVM)
Analysis
Artificial
Databases
Linear
Machine
Market
Multiple
Network
Neural
Regression
Sentiment
Stock
Support
Vector
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1Accuracy Improvement of PM Measuring Instruments
T. Kim. International Journal of Trend in Scientific Research and Development, 3 (5): 1396-1398 (August 2019)
5 years ago by @ijtsrd
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Electrical
Engineering
PM10
analysis
light
linear
method
regression
scattering
subway
system
underground
ElectricalEngineeringPM10analysislightlinearmethodregressionscatteringsubwaysystemunderground
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1Forecasting Academic Performance using Multiple Linear Regression
Y. Cho. International Journal of Trend in Scientific Research and Development, 3 (5): 1187-1189 (August 2019)
5 years ago by @ijtsrd
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(MLR)
(SPSS)
Database
Linear
Miining
Multiple
Package
Regressions
Sciences
Social
Statistical
for
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1Nonlinear Modeling and System Identification of a DC Gear Motor with Unknown Parameters
H. Tun. International Journal of Trend in Scientific Research and Development, 3 (5): 737-741 (August 2019)
5 years ago by @ijtsrd
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&
Communication
Electronics
Engineering
Identification
Linear
Modeling
Nonlinear
Space
State
System
&CommunicationElectronicsEngineeringIdentificationLinearModelingNonlinearSpaceStateSystem
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1An Empirical Study on Underwriting Risk of Insurance Companies in Bangladesh
M. Alam. International Journal of Trend in Scientific Research and Development, 3 (5): 552-557 (August 2019)
5 years ago by @ijtsrd
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Company
Firm
Insurance
Linear
Management
Multiple
Regression
Risk
Size
Underwriting
CompanyFirmInsuranceLinearManagementMultipleRegressionRiskSizeUnderwriting
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1Application of First Order Linear Equation Market Balance
A. Tamimahadi. International Journal of Trend in Scientific Research and Development, 3 (5): 394-397 (August 2019)
5 years ago by @ijtsrd
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and
balance
equationfixed
first-pass
linear
market
models
order
variable
andbalanceequationfixedfirst-passlinearmarketmodelsordervariable
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1Um Arcabouco para Integracão de Microdados da Pesquisa Nacional por Amostra de Domic\'ılios: Aplicacão na Análise dos Fatores de Influência sobre a Renda do Trabalho na Região Sul do Brasil
L. Menezes, J. Leão, E. Menezes, A. dos Santos, and B. Ribeiro. Anais dos Simpósios de Informática do IFNMG-Campus Januária, (Nov 29, 2018)to appear.
5 years ago by @jcl
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Brasileiro.
Linear
M\'{u}ltipla,
Regress\~{a}o
Rendimento
Sul
Trabalho,
do
Brasileiro.LinearM\'{u}ltipla,Regress\~{a}oRendimentoSulTrabalho,do
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1Design and Simulation of Permanent Magnet Linear Generator for Wave Energy Power Plant
A. Naing. International Journal of Trend in Scientific Research and Development, 3 (4): 1202-1206 (June 2019)
5 years ago by @ijtsrd
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Electrical
Engineering
Linear
Permanent
Renewable
Wave
converters
energy
generator
machines
magnet
resources
variable
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1Comparative Study of Machine Learning Algorithms for Rainfall Prediction
M. Ph.D. International Journal of Trend in Scientific Research and Development, 3 (3): 677-681 (March 2019)
5 years ago by @ijtsrd
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Data
Forest
Miining
Random
Regressor
adaboost
learning
linear
machine
multiple
prediction
rainfall
regression
DataForestMiiningRandomRegressoradaboostlearninglinearmachinemultiplepredictionrainfallregression
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1Applications of Quantitative Techniques in Decision Making of Business Organisation
D. Devaki. International Journal of Trend in Scientific Research and Development, 3 (3): 568-571 (March 2019)
5 years ago by @ijtsrd
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Analysis
CPM
Decision
Linear
Management
Models
Operations
PERT
Probability
Programming
Quantitative
R&D
Regression
Research
Theory
and
making
techniques
AnalysisCPMDecisionLinearManagementModelsOperationsPERTProbabilityProgrammingQuantitativeR&DRegressionResearchTheoryandmakingtechniques
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1Design and Performance Analysis of Proposed Single-Sided Linear Induction Motor used in Elevator
A. Tun. International Journal of Trend in Scientific Research and Development, 3 (1): 387-393 (December 2018)
5 years ago by @ijtsrd
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Circuit
Design
Electrical
Equivalent
Evaluation
Induction
Linear
Machine
Model
Motor
Performance
SLIM
Single-Sided
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1A Linear Model for Three-Way Analysis of Facial Similarity
D. Hepting, H. Bin Amer, and Y. Yao. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, volume 854 of Communications in Computer and Information Science, page 528--537. Cham, Springer International Publishing, (June 2018)
5 years ago by @dhhepting
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card
decision,
linear
model
myown
similarity,
sorting,
three-way
carddecision,linearmodelmyownsimilarity,sorting,three-way
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