tag :: weighted | BibSonomy

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1PA 765: Weighted Least Squares (WLS) Regression
http://www2.chass.ncsu.edu/garson/PA765/wls.htm
7 years ago by @bshanks
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Bookmarks
homoscedasticity
Weighted
Least
Squares
(WLS)
Regression
work
BookmarkshomoscedasticityWeightedLeastSquares(WLS)Regressionwork
(0)
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1Sproose Blog =|= What's Spicy About Sproose?
When users vote a website, that site is re-ranked for all users. This is the purest way to socialize search. The users can determine the best sites, actually better than computers or algorithms. This is the heart and soul of the sproose search engine.
17 years ago by @avivagabriel
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algorithms
engines
ranking
rating
scored
search
searchengines
sproose
user-ranked
user-rated
voting
weighted
algorithmsenginesrankingratingscoredsearchsearchenginessprooseuser-rankeduser-ratedvotingweighted
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publications (hide)119
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1Ways to Write Off the Cost of Inventory
A. A.. International Journal on Economics, Finance and Sustainable Development, 5 (6): 249-253 (June 2023)
6 months ago by @researchpark_20
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average
cost,
financial
inventory,
materials,
report
weighted
averagecost,financialinventory,materials,reportweighted
(0)
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1Enhanced DV Hop Localization Algorithm for Wireless Sensor Networks
J. Sharma. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 7 (3): 703-710 (June 2023)
10 months ago by @ijtsrd
show all tags
DV-Hop,
WLS,
correction
hop-size
localization,
networks
sensor
value,
weighted
wireless
DV-Hop,WLS,correctionhop-sizelocalization,networkssensorvalue,weightedwireless
(0)
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1Weighted Coefficient Firefly Optimization Algorithm and Support Vector Machine for Trust Model and Link Reliability
S. Sharma, and S. Hussain. International Journal of Computer Networks & Communications (IJCNC), 14 (5): 117-132 (September 2022)
a year ago by @laimbee
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Algorithm
Cloud
Coefficient
Entropy
Firefly
Machine
Measure
Optimization
Support
Trust
Vector
Weighted
computing
model
AlgorithmCloudCoefficientEntropyFireflyMachineMeasureOptimizationSupportTrustVectorWeightedcomputingmodel
(0)
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3Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality
C. Sandrock, M. Herde, A. Calma, D. Kottke, and B. Sick. International Joint Conference on Neural Networks (IJCNN), page 1--8. IEEE, (2019)
2 years ago by @ies
show all tags
(artificial
annotators;confidence
annotators;expertise
annotators;multiple
assignment;self-reported
classification;probability;multiple
confidence
confidences;numerical
confidences;{\gamma}-
data
different
estimation;pattern
evaluation;graphical
evaluation;probabilistic
intelligence);maximum
levels;{\alpha}-confidence;benevolent
likelihood
machines
majority
mining;learning
model;nonnormalized
models;{\beta}-confidence
outputs;intelligent
posses
quality;class
uncertain
vote;label
weighted
(artificialannotators;confidenceannotators;expertiseannotators;multipleassignment;self-reportedclassification;probability;multipleconfidenceconfidences;numericalconfidences;{\gamma}-datadifferentestimation;patternevaluation;graphicalevaluation;probabilisticintelligence);maximumlevels;{\alpha}-confidence;benevolentlikelihoodmachinesmajoritymining;learningmodel;nonnormalizedmodels;{\beta}-confidenceoutputs;intelligentpossesquality;classuncertainvote;labelweighted
(0)
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1An Overview of Estimation Methods within Wireless Sensor Networks
E. Adams, and S. Jia. International Journal of Innovative Science and Modern Engineering (IJISME), 1 (8): 21-23 (July 2013)
3 years ago by @ijisme_beiesp
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(BSC)
(CRLB)
(WA).
Attack
Average
Binary
Bound
Byzantine
Channel
Cramer-Rao
Lower
Symmetric
Weighted
(BSC)(CRLB)(WA).AttackAverageBinaryBoundByzantineChannelCramer-RaoLowerSymmetricWeighted
(1)
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2Study on the Genotoxicity of the Extremely Low Frequency-Magnetic Fields (ELF-MF) in Occupationally Exposed Workers
F. GOBBA, L. KORPINEN, M. SCARINGI, and G. BRAVO. (2013)
3 years ago by @ceps
show all tags
(CA)
(MN)
(SCE)
(TWA)
Extremely
Field
Frequency
Magnetic
aberration
average
chromatid
chromosomal
exchanges
exposure
genotoxicity
low
micronucleus
occupational
sister
time
weighted
(CA)(MN)(SCE)(TWA)ExtremelyFieldFrequencyMagneticaberrationaveragechromatidchromosomalexchangesexposuregenotoxicitylowmicronucleusoccupationalsistertimeweighted
(0)
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2Natural Killer activity in Peripheral Blood Lymphocytes of Workers Exposed to Different Levels of Extremely Low Frequency-Magnetic Fields (ELF-EMF)
F. GOBBA, L. KORPINEN, P. BORELLA, and A. BARGELLINI. (2013)
3 years ago by @ceps
show all tags
Extremely
Field
Frequency
Killer
Low
MF)
Magnetic
Natural
average
blood
cells
exposure
lymphocytes
occupational
peripheral
time
weighted
ExtremelyFieldFrequencyKillerLowMF)MagneticNaturalaveragebloodcellsexposurelymphocytesoccupationalperipheraltimeweighted
(0)
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2Study on the Genotoxicity of the Extremely Low Frequency-Magnetic Fields (ELF-MF) in Occupationally Exposed Workers
F. GOBBA, L. KORPINEN, M. SCARINGI, and G. BRAVO. (2013)
3 years ago by @chkokalis
show all tags
(CA)
(MN)
(SCE)
(TWA)
Extremely
aberration
average
chromatid
chromosomal
exchanges
exposure
fields
frequency
genotoxicity
low
magnetic
micronucleus
occupational
sister
time
weighted
(CA)(MN)(SCE)(TWA)Extremelyaberrationaveragechromatidchromosomalexchangesexposurefieldsfrequencygenotoxicitylowmagneticmicronucleusoccupationalsistertimeweighted
(0)
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2Natural Killer activity in Peripheral Blood Lymphocytes of Workers Exposed to Different Levels of Extremely Low Frequency-Magnetic Fields (ELF-EMF)
F. GOBBA, L. KORPINEN, P. BORELLA, and A. BARGELLINI. (2013)
3 years ago by @chkokalis
show all tags
(ELF)
(NK)
(PBL)
(TWA)
Extremely
Fields
Frequency
Killer
Low
MF)
Magnetic
Natural
average
blood
cells
exposure
lymphocytes
occupational
peripheral
time
weighted
(ELF)(NK)(PBL)(TWA)ExtremelyFieldsFrequencyKillerLowMF)MagneticNaturalaveragebloodcellsexposurelymphocytesoccupationalperipheraltimeweighted
(0)
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1KM System Evaluation using Four dimensional Metric Model, Database and RESTful Resources
D. Subramanian, A. Geetha, K. Mehata, and K. Hussain. International Journal on Web Service Computing (IJWSC), 3 (3): 17-28 (September 2012)
4 years ago by @ijwsc
show all tags
(KMS)
Average
Database
Evaluation
KM
Knowledge
Management
Mean(WAM)
Metrics
Model
Multi-dimensional
RESTful
Ranking
Rating
Resources
Systems
Weighted
model
(KMS)AverageDatabaseEvaluationKMKnowledgeManagementMean(WAM)MetricsModelMulti-dimensionalRESTfulRankingRatingResourcesSystemsWeightedmodel
(0)
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1Performance Evaluation of LTE Network using Maximum Flow Algorithm
B. Khatri, B. Ahammad, M. Islam, R. Rubaiat, and M. Islam. International Journal of Computer Science & Information Technology (IJCSIT), 12 (4): 68 - 79 (August 2020)
4 years ago by @shamerjose
show all tags
Aggregate
RB
and
blocking
channel
graph
offered
probability
traffic
weighted
AggregateRBandblockingchannelgraphofferedprobabilitytrafficweighted
(0)
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1Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers
Y. Ma, A. Olshevsky, {. Szepesvári, and V. Saligrama. ICML, (July 2018)
4 years ago by @csaba
show all tags
Dawid-Skene,
crowdsourcing,
descent
gradient
low-rank,
model,
nonconvex
optimization,
rank-1
weighted
Dawid-Skene,crowdsourcing,descentgradientlow-rank,model,nonconvexoptimization,rank-1weighted
(0)
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1A Vibrational Approach for the Study of Historical Weighted and Dyed Silks
T. Aguayo, M. Araya, T. Icaza, and M. Campos-Vallette. Journal of Molecular Structure, (2014)
4 years ago by @dqcauchile
show all tags
atr,
bombyx
bombyx-mori,
conformation,
conservation,
degradation,
deterioration,
dqcauchile
enhanced
infrared-spectroscopy,
inks,
mori,
proteins,
raman,
raman-scattering,
silk,
textiles
weighted
atr,bombyxbombyx-mori,conformation,conservation,degradation,deterioration,dqcauchileenhancedinfrared-spectroscopy,inks,mori,proteins,raman,raman-scattering,silk,textilesweighted
(0)
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1ADDRESSING IMBALANCED CLASSES PROBLEM OF INTRUSION DETECTION SYSTEM USING WEIGHTED EXTREME LEARNING MACHINE
M. Awad, and A. Alabdallah. International Journal of Computer Networks & Communications (IJCNC), 11 (5): 39-58 (September 2019)
5 years ago by @laimbee
show all tags
Accuracy,
Extreme
ISCX2012.
Intrusion
Learning
Learning,
Machine
Machine,
UNB
Weighted
detection
system,
Accuracy,ExtremeISCX2012.IntrusionLearningLearning,MachineMachine,UNBWeighteddetectionsystem,
(0)
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1Comparison of Defuzzification Methods from a Real World Problem
W. Tun. International Journal of Trend in Scientific Research and Development, 3 (5): 2194-2197 (August 2019)
5 years ago by @ijtsrd
show all tags
Artificial
Centroid
Defuzzification
Fuzzification
Intelligence
average
center
method
of
sums
weighted
ArtificialCentroidDefuzzificationFuzzificationIntelligenceaveragecentermethodofsumsweighted
(0)
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1Identification of Water Potential Zones in Drought Prone Area's '“ A Case Study of Rolla Mandal, Ananthapuram, Andhra Pradesh, India
G. Sharma. International Journal of Trend in Scientific Research and Development, 2 (2): 1386-1406 (February 2018)
6 years ago by @ijtsrd
show all tags
&
(Normalized
Analysis
Ananthapuram
Architecture
Differential
Drought
Ground
Index)
Management
NDVI
Planning
Potential
Rain
Shed
Vegetation
Water
Weighted
Zones
analysis
overlay
water
&(NormalizedAnalysisAnanthapuramArchitectureDifferentialDroughtGroundIndex)ManagementNDVIPlanningPotentialRainShedVegetationWaterWeightedZonesanalysisoverlaywater
(0)
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1Weight Based Backbone Clustering Implemented for Multicast MANET
T. G.Arulanandam. International Journal of Trend in Scientific Research and Development, 1 (4): 698-704 (June 2017)
6 years ago by @ijtsrd
show all tags
Backbone
Clustering
Computer
Location
MANETMulticast
Network
Weighted
BackboneClusteringComputerLocationMANETMulticastNetworkWeighted
(0)
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1FUZZY WEIGHTED ASSOCIATIVE CLASSIFIER: A PREDICTIVE TECHNIQUE FOR HEALTH CARE DATA MINING
S. Soni, and O.P.Vyas. International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), 2 (1): 11-22 (February 2012)
6 years ago by @ijcseit
show all tags
Association
Associative
Classifiers
Confidence
FWAC
Fuzzy
Rule
Weighted
support
weighted
AssociationAssociativeClassifiersConfidenceFWACFuzzyRuleWeightedsupportweighted
(0)
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3Highly Efficient Mining of Overlapping Clusters in Signed Weighted Networks.
T. Hoang, and E. Lim. (2017)
6 years ago by @tahoang
show all tags
alexandria
clustering
l3s
myown
network
signed
weighted
alexandriaclusteringl3smyownnetworksignedweighted
(0)
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BibSonomy

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1PA 765: Weighted Least Squares (WLS) Regression

1Sproose Blog =|= What's Spicy About Sproose?

publications (hide)119
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1Ways to Write Off the Cost of Inventory

1Enhanced DV Hop Localization Algorithm for Wireless Sensor Networks

1Weighted Coefficient Firefly Optimization Algorithm and Support Vector Machine for Trust Model and Link Reliability

3Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality

1An Overview of Estimation Methods within Wireless Sensor Networks

2Study on the Genotoxicity of the Extremely Low Frequency-Magnetic Fields (ELF-MF) in Occupationally Exposed Workers

2Natural Killer activity in Peripheral Blood Lymphocytes of Workers Exposed to Different Levels of Extremely Low Frequency-Magnetic Fields (ELF-EMF)

2Study on the Genotoxicity of the Extremely Low Frequency-Magnetic Fields (ELF-MF) in Occupationally Exposed Workers

2Natural Killer activity in Peripheral Blood Lymphocytes of Workers Exposed to Different Levels of Extremely Low Frequency-Magnetic Fields (ELF-EMF)

1KM System Evaluation using Four dimensional Metric Model, Database and RESTful Resources

1Performance Evaluation of LTE Network using Maximum Flow Algorithm

1Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers

1A Vibrational Approach for the Study of Historical Weighted and Dyed Silks

1ADDRESSING IMBALANCED CLASSES PROBLEM OF INTRUSION DETECTION SYSTEM USING WEIGHTED EXTREME LEARNING MACHINE

1Comparison of Defuzzification Methods from a Real World Problem

1Identification of Water Potential Zones in Drought Prone Area's '“ A Case Study of Rolla Mandal, Ananthapuram, Andhra Pradesh, India

1Weight Based Backbone Clustering Implemented for Multicast MANET

1FUZZY WEIGHTED ASSOCIATIVE CLASSIFIER: A PREDICTIVE TECHNIQUE FOR HEALTH CARE DATA MINING

3Highly Efficient Mining of Overlapping Clusters in Signed Weighted Networks.

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