tag :: latent | BibSonomy

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1mims-harvard/scikit-fusion: scikit-fusion: Data fusion via collective latent factor models
https://github.com/mims-harvard/scikit-fusion
4 years ago by @becker
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data
fusion
mit
multiview
learning
machine
graph
graphs
network
python
sklearn
skfusion
scikit
matrix
factorization
gpu
py
heterogeneous
latent
factor
datafusionmitmultiviewlearningmachinegraphgraphsnetworkpythonsklearnskfusionscikitmatrixfactorizationgpupyheterogeneouslatentfactor
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1Generating Large Images from Latent Vectors | 大トロ
http://blog.otoro.net/2016/04/01/generating-large-images-from-latent-vectors/
5 years ago by @becker
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latent
vectors
generative
model
models
auto
encoder
autoencoder
variational
va
latentvectorsgenerativemodelmodelsautoencoderautoencodervariationalva
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1David Bamman
* A Bayesian Mixed Effects Model of Literary Character
8 years ago by @becker
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bayes
bayesian
generative
kallimachos
latent
model
bayesbayesiangenerativekallimachoslatentmodel
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1Using Metafeatures to Increase the Effectiveness of Latent Semantic Models in Web Search
http://www2016.net/proceedings/proceedings/p1081.pdf
8 years ago by @gpublio
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Latent
Metafeatures
Models
Search
Semantic
Web
LatentMetafeaturesModelsSearchSemanticWeb
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1An Introduction to Latent Semantic Analysis
http://lsa.colorado.edu/papers/dp1.LSAintro.pdf
10 years ago by @marcelkiesel
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analysis
latent
lsa
semantic
analysislatentlsasemantic
(1)
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4Causal effect inference with deep latent-variable models
C. Louizos, U. Shalit, J. Mooij, D. Sontag, R. Zemel, and M. Welling. Advances in neural information processing systems, (2017)
2 years ago by @becker
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variational
autoencoder
auto
enocoder
latent
variable
causal
effect
inference
deep
learning
generative
model
citedby:scholar:count:360
citedby:scholar:timestamp:2022-2-25
variationalautoencoderautoenocoderlatentvariablecausaleffectinferencedeeplearninggenerativemodelcitedby:scholar:count:360citedby:scholar:timestamp:2022-2-25
(0)
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2Bootstrap your own latent: A new approach to self-supervised learning
J. Grill, F. Strub, F. Altché, C. Tallec, P. Richemond, E. Buchatskaya, C. Doersch, B. Pires, Z. Guo, M. Azar and 1 other author(s). arXiv preprint arXiv:2006.07733, (2020)
3 years ago by @becker
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boostrap
latent
space
self
supervised
learning
citedby:scholar:count:609
citedby:scholar:timestamp:2021-10-17
boostraplatentspaceselfsupervisedlearningcitedby:scholar:count:609citedby:scholar:timestamp:2021-10-17
(0)
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2Clustergan: Latent space clustering in generative adversarial networks
S. Mukherjee, H. Asnani, E. Lin, and S. Kannan. Proceedings of the AAAI Conference on Artificial Intelligence, 33, page 4610--4617. (2019)
3 years ago by @becker
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adversarial
citedby:scholar:count:128
citedby:scholar:timestamp:2021-7-20
cluster
clustering
gan
generative
latent
network
neural
project:bmbf
space
unsupervised
adversarialcitedby:scholar:count:128citedby:scholar:timestamp:2021-7-20clusterclusteringgangenerativelatentnetworkneuralproject:bmbfspaceunsupervised
(0)
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15Latent semantic models for collaborative filtering
T. Hofmann. ACM Transactions on Information Systems, 22 (1): 89--115 (January 2004)
3 years ago by @nosebrain
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collaborative
filtering
latent
collaborativefilteringlatent
(0)
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1Learning to Disentangle Latent Physical Factors for Video Prediction
D. Zhu, M. Munderloh, B. Rosenhahn, and J. Stückler. German Conference on Pattern Recognition (GCPR), (September 2019)
4 years ago by @tntl3s
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Disentangle
Factors
Latent
Physical
myown
DisentangleFactorsLatentPhysicalmyown
(0)
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1scGen predicts single-cell perturbation responses
M. Lotfollahi, F. Wolf, and F. Theis. Nature Methods, 16 (8): 715--721 (2019)
5 years ago by @becker
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afcs
arithmetics
autoencoder
cell
expression
gene
generative
genes
latent
model
single
space
variational
afcsarithmeticsautoencodercellexpressiongenegenerativegeneslatentmodelsinglespacevariational
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3Learning Latent Subspaces in Variational Autoencoders
J. Klys, J. Snell, and R. Zemel. Advances in Neural Information Processing Systems, page 6444--6454. (2018)
5 years ago by @becker
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autoencoder
class
extraction
feature
intra
latent
subspace
variation
variational
autoencoderclassextractionfeatureintralatentsubspacevariationvariational
(0)
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3Jointly Learning Word Embeddings and Latent Topics.
B. Shi, W. Lam, S. Jameel, S. Schockaert, and K. Lai. SIGIR, page 375-384. ACM, (2017)
5 years ago by @schwemmlein
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em
embeddings
latent
models
polysemy
topic
word
emembeddingslatentmodelspolysemytopicword
(0)
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1COMPARATIVE STUDY ON TEXT DOCUMENT CLUSTERING ALGORITHMS BASED ON LATENT SEMANTIC INDEXING
J. R. Advances in Engineering: an International Journal (ADEIJ), 02 (02): 11 (December 2019)
5 years ago by @adeij_journal
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Analysis
Component
Indexing
Latent
Principal
Semantic
algorithm
clustering
text
AnalysisComponentIndexingLatentPrincipalSemanticalgorithmclusteringtext
(0)
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1The Viability of Thermal Energy Storage and Phase Change Material
P. Prof. Rohit Soni. International Journal of Trend in Scientific Research and Development, 2 (3): 2636-2641 (April 2018)
6 years ago by @ijtsrd
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Engineering
Latent
Mechanical
Phase
Thermal
change
energy
heat
material
storage
EngineeringLatentMechanicalPhaseThermalchangeenergyheatmaterialstorage
(0)
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1Significance of Phase Change Materials in Building Construction
D. Dhote. International Journal of Trend in Scientific Research and Development, 2 (4): 1686-1691 (June 2018)
6 years ago by @ijtsrd
show all tags
Civil
Engineering
PCM
building
change
green
heat
insulation
latent
materials
phase
thermal
CivilEngineeringPCMbuildingchangegreenheatinsulationlatentmaterialsphasethermal
(0)
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1META-HEURISTICS BASED ARF OPTIMIZATION FOR IMAGE RETRIEVAL
D. B, and D. Chattamvelli. International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), 2 (2): 177-185 (April 2012)
6 years ago by @ijcseit
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Content
Image
Indexing
Latent
Meta-heuristics
Retrieval
Semantic
based
gap
ContentImageIndexingLatentMeta-heuristicsRetrievalSemanticbasedgap
(0)
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12Recommending collaboration with social networks: a comparative evaluation
D. McDonald. Proceedings of the SIGCHI conference on Human factors in computing systems, page 593--600. New York, NY, USA, ACM, (2003)
6 years ago by @aho
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cscw
latent
people-recommender
recommender
cscwlatentpeople-recommenderrecommender
(0)
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2Objektive Bedeutungsstruktur und latente Sinnstruktur. Eine Forschungsnotiz zu zwei klärungsbedürftigen Termini der Objektiven Hermeneutik
L. Thomas. Sozialer Sinn, 17 (2): 355-382 (2016)
6 years ago by @agoh
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Bedeutung
Bedeutungsstruktur
Frege
Methode
Methodologie
Oevermann_[Ulrich]
Rekonstruktion
Sequenzanalyse
Sinn
Sinnstruktur
latent
manifest
BedeutungBedeutungsstrukturFregeMethodeMethodologieOevermann_[Ulrich]RekonstruktionSequenzanalyseSinnSinnstrukturlatentmanifest
(0)
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1Mixing in age-structured population models of infectious diseases
J. Glasser, Z. Feng, A. Moylan, S. Del Valle, and C. Castillo-Chavez. Mathematical Biosciences, 235 (1): 1-7 (2012)
7 years ago by @ccchavez
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Adult;
Age
Age-structured
Child;
Communicable
Convex
Cumulative
Disease
Diseases;
Epidemiologic
Face-to-face
Factors;
Gaussian
Generation
Humans;
Incidence;
Indirect
Infection
Infectious
Intervention
Kronecker
Mathematical
Methods;
Mixing,
Off-diagonal
Outbreaks;
Prevalence;
Prospective
Reproduction
Studies
Theoretical
Young
age
article;
assessment;
children,
combinations;
comparison;
computing;
control;
controlled
conversation;
delta;
disease
disease;
distribution;
effects;
elements;
factor,
generation
human;
incidence;
infection
infection;
infectious
influenza;
intermethod
latent
mathematical
method;
model;
models,
models;
nonhuman;
numbers;
outcome
pathogen,
period;
population
probability;
rate;
rates;
reliability;
risk
risk;
sensitivity;
size;
structure;
study;
time;
transmission;
Adult;AgeAge-structuredChild;CommunicableConvexCumulativeDiseaseDiseases;EpidemiologicFace-to-faceFactors;GaussianGenerationHumans;Incidence;IndirectInfectionInfectiousInterventionKroneckerMathematicalMethods;Mixing,Off-diagonalOutbreaks;Prevalence;ProspectiveReproductionStudiesTheoreticalYoungagearticle;assessment;children,combinations;comparison;computing;control;controlledconversation;delta;diseasedisease;distribution;effects;elements;factor,generationhuman;incidence;infectioninfection;infectiousinfluenza;intermethodlatentmathematicalmethod;model;models,models;nonhuman;numbers;outcomepathogen,period;populationprobability;rate;rates;reliability;riskrisk;sensitivity;size;structure;study;time;transmission;
(0)
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4TribeFlow: Mining & Predicting User Trajectories
F. Figueiredo, B. Ribeiro, J. Almeida, and C. Faloutsos. International Conference on World Wide Web, page 695--706. Republic and Canton of Geneva, Switzerland, International World Wide Web Conferences Steering Committee, (2016)
7 years ago by @becker
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bayes
bayesian
bmbf
diss
environments
hyptrails
imported
inference
inthesis
latent
mixedtrails
model
modelling
prediction
pv
recommendation
trajectory
tribeflow
user
bayesbayesianbmbfdissenvironmentshyptrailsimportedinferenceinthesislatentmixedtrailsmodelmodellingpredictionpvrecommendationtrajectorytribeflowuser
(0)
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1Using a spatio-temporal dynamic state-space model with the EM algorithm to patch gaps in daily riverflow series
B. Amisigo, and N. van de Giesen. Hydrology and Earth System Sciences, 9 (3): 209--224 (2005)
7 years ago by @yourwelcome
show all tags
EM
R,
algorithm,
autocorrelation
autocorrelation,
hierarchical
hydrology,
latent
model,
spatial
temporal
variables,
EMR,algorithm,autocorrelationautocorrelation,hierarchicalhydrology,latentmodel,spatialtemporalvariables,
(0)
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6Model-based clustering for social networks
M. Handcock, A. Raftery, and J. Tantrum. Journal of the Royal Statistical Society: Series A (Statistics in Society), 170 (2): 301--354 (2007)
7 years ago by @yourwelcome
show all tags
Bayes
Bayesian
Carlo,
Markov
Mixture
Monte
R,
Transitivity
\_tablet,
chain
clustering,
distribution,
distributions,
dyad,
factor,
gibbs,
inference,
latent
mixture
model,
multinomial
multivariate
networks,
of
social
sociality,
variables,
BayesBayesianCarlo,MarkovMixtureMonteR,Transitivity\_tablet,chainclustering,distribution,distributions,dyad,factor,gibbs,inference,latentmixturemodel,multinomialmultivariatenetworks,ofsocialsociality,variables,
(1)
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3Hidden semi-Markov models
S. Yu. Artificial Intelligence, 174 (2): 215--243 (February 2010)
7 years ago by @yourwelcome
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Hidden
Markov
analysis
latent
models,
time-series
variables,
HiddenMarkovanalysislatentmodels,time-seriesvariables,
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1Ecological non-linear state space model selection via adaptive particle Markov chain Monte Carlo (AdPMCMC)
G. Peters, G. Hosack, and K. Hayes. Arxiv preprint arXiv:1005.2238, (2010)
7 years ago by @yourwelcome
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Carlo
Carlo,
Importance
Markov
Monte
Sequential
adaptive,
chain
filter,
latent
model
particle
sampling,
selection,
variables,
CarloCarlo,ImportanceMarkovMonteSequentialadaptive,chainfilter,latentmodelparticlesampling,selection,variables,
(0)
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BibSonomy

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1mims-harvard/scikit-fusion: scikit-fusion: Data fusion via collective latent factor models

1Generating Large Images from Latent Vectors | 大トロ

1David Bamman

1Using Metafeatures to Increase the Effectiveness of Latent Semantic Models in Web Search

1An Introduction to Latent Semantic Analysis

publications (hide)127
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4Causal effect inference with deep latent-variable models

2Bootstrap your own latent: A new approach to self-supervised learning

2Clustergan: Latent space clustering in generative adversarial networks

15Latent semantic models for collaborative filtering

1Learning to Disentangle Latent Physical Factors for Video Prediction

1scGen predicts single-cell perturbation responses

3Learning Latent Subspaces in Variational Autoencoders

3Jointly Learning Word Embeddings and Latent Topics.

1COMPARATIVE STUDY ON TEXT DOCUMENT CLUSTERING ALGORITHMS BASED ON LATENT SEMANTIC INDEXING

1The Viability of Thermal Energy Storage and Phase Change Material

1Significance of Phase Change Materials in Building Construction

1META-HEURISTICS BASED ARF OPTIMIZATION FOR IMAGE RETRIEVAL

12Recommending collaboration with social networks: a comparative evaluation

2Objektive Bedeutungsstruktur und latente Sinnstruktur. Eine Forschungsnotiz zu zwei klärungsbedürftigen Termini der Objektiven Hermeneutik

1Mixing in age-structured population models of infectious diseases

4TribeFlow: Mining & Predicting User Trajectories

1Using a spatio-temporal dynamic state-space model with the EM algorithm to patch gaps in daily riverflow series

6Model-based clustering for social networks

3Hidden semi-Markov models

1Ecological non-linear state space model selection via adaptive particle Markov chain Monte Carlo (AdPMCMC)

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