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标签“for”的相关文档，共1143条

Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates
NonnegativeMatrixFactorizationforTimeSeriesRecoveryFromaFewTemporalAggregatesJialiMei12YohannDeCastro1YannigGoude12GeorgesHe´brail2AbstractticipantisbilledbytheTSO.Tocalculatetheimbalancecausedbya...
for Matrix Time Series Nonnegative
2023-11-12 20:44:541424315.08 KB20
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Neural Message Passing for Quantum Chemistry
NeuralMessagePassingforQuantumChemistryJustinGilmer1SamuelS.Schoenholz1PatrickF.Riley2OriolVinyals3GeorgeE.Dahl1AbstractDFTTargetsSupervisedlearningonmoleculeshasincredi-⇠103secondsE,!0,...blepote...
Neural for Message Passing Quantum
2023-11-12 20:44:52946399.83 KB7
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Multiplicative Normalizing Flows for Variational Bayesian Neural Networks
MultiplicativeNormalizingFlowsforVariationalBayesianNeuralNetworksChristosLouizos12MaxWelling13Abstractwhenadoctordeterminesthediseaseofapatientbasedontheoutputofsuchanetwork.Wereinterpretmultiplic...
Neural for Variational Bayesian Multiplicative
2023-11-12 20:44:5116211.08 MB9
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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-AgnosticMeta-LearningforFastAdaptationofDeepNetworksChelseaFinn1PieterAbbeel12SergeyLevine1Abstracttheformofcomputationrequiredtocompletethetask.Weproposeanalgorithmformeta-learningthatInthis...
of for Deep Adaptation Fast
2023-11-12 20:44:4910872.66 MB12
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Model-Independent Online Learning for Influence Maximization
Model-IndependentOnlineLearningforInﬂuenceMaximizationSharanVaswani1BranislavKveton2ZhengWen2MohammadGhavamzadeh3LaksV.S.Lakshmanan1MarkSchmidt1Abstractinordertomaximizetheinﬂuencespreadwhichisth...
Learning for Online Maximization Model-Independent
2023-11-12 20:44:498051.01 MB21
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Minimax Regret Bounds for Reinforcement Learning
MinimaxRegretBoundsforReinforcementLearningMohammadGheshlaghiAzar1IanOsband1RémiMunos1AbstractThemostcommonapproachtothislearningproblemistoseparatetheprocessofestimationandoptimization.Weconsider...
Learning for Reinforcement Regret bounds
2023-11-12 20:44:481617405.06 KB16
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Minimizing Trust Leaks for Robust Sybil Detection
MinimizingTrustLeaksforRobustSybilDetection12232323452Ja´nosHo¨nerShinichiNakajimaAlexanderBauerKlaus-RobertMu¨llerNicoGo¨rnitzAbstractismultipliedbythenumberofaccountscreated,whichopenspossibi...
for Robust Detection Minimizing Trust
2023-11-12 20:44:4816721.4 MB22
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meProp Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
meProp:SparsiﬁedBackPropagationforAcceleratedDeepLearningwithReducedOverﬁttingXuSun12XuanchengRen12ShumingMa12HoufengWang12Abstractsuchthatonlyhighlyrelevantparametersareupdatedandotherparameters...
for Deep Accelerated meProp Sparsified
2023-11-12 20:44:481230387.83 KB13
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MEC Memory-efficient Convolution for Deep Neural Network
MEC:Memory-efﬁcientConvolutionforDeepNeuralNetworkMinsikCho1DanielBrand1Abstract2016a;Vasilacheetal.,2014).Toaddresstheperformanceissuesinconvolutionallayers,efﬁcient/approximational-Convolutioni...
Neural for Deep Convolution Network
2023-11-12 20:44:48870241.35 KB26
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Meritocratic Fairness for Cross-Population Selection
MeritocraticFairnessforCross-PopulationSelectionMichaelKearns1AaronRoth1ZhiweiStevenWu1Abstractthenumberofcandidateseachyearissmall,simplycom-paringeachcandidatetotheirdirectcompetitorsthisyearWeco...
for Selection Fairness Meritocratic Cross-Population
2023-11-12 20:44:471612368.94 KB3
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Max-value Entropy Search for Efficient Bayesian Optimization
Max-valueEntropySearchforEfﬁcientBayesianOptimizationZiWang1StefanieJegelka1AbstractAmongthemostpopularonesrangetheGaussianprocessupperconﬁdencebound(GP-UCB)(Auer,2002;SrinivasEntropySearch(ES)an...
for Efficient Optimization Bayesian Search
2023-11-12 20:44:471895632.39 KB4
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Leveraging Node Attributes for Incomplete Relational Data
LeveragingNodeAttributesforIncompleteRelationalDataHeZhao1LanDu1WrayBuntine1Abstractablockmatrixtocapturetheinteractionsbetweenlatentfactors.TherehavebeenmanyBayesianextensionsofRelationaldataareus...
for Data Node Relational Leveraging
2023-11-12 20:44:4418653.51 MB24
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Learning Algorithms for Active Learning
LearningAlgorithmsforActiveLearningPhilipBachman1AlessandroSordoni1AdamTrischler1Abstractingtheinstancewhoselabelthemodelismostuncertainabout,ortheinstancewhoselabelisexpectedtomaximallyWeintroduce...
Learning Active for Algorithms
2023-11-12 20:44:371853446.32 KB13
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Know-Evolve Deep Temporal Reasoning for Dynamic Knowledge Graphs
Know-Evolve:DeepTemporalReasoningforDynamicKnowledgeGraphsRakshitTrivedi1HanjunDai1YichenWang1LeSong1AbstractFigure1.Sampletemporalknowledgesubgraphbetweenpersons,organizationsandcountries.Theavail...
for Deep Dynamic Know-Evolve Temporal
2023-11-12 20:44:3618721.34 MB11
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iSurvive An Interpretable, Event-time Prediction Model for mHealth
iSurvive:AnInterpretable,Event-timePredictionModelformHealthWalterH.Dempsey1AlexanderMoreno2ChristyK.Scott3MichaelL.Dennis3DavidH.Gustafson4SusanA.Murphy1JamesM.Rehg2Abstractmeasurements;and(3)Para...
for An Model Prediction iSurvive
2023-11-12 20:44:341315645.85 KB28
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Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
ImprovedVariationalAutoencodersforTextModelingusingDilatedConvolutionsZichaoYang1ZhitingHu1RuslanSalakhutdinov1TaylorBerg-Kirkpatrick1Abstractofthisclass:thevariationalautoencoder1(VAE)(Kingma&Well...
for Using Text Variational Autoencoders
2023-11-12 20:44:321577562.47 KB21
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GSOS Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization
GSOS:Gauss-SeidelOperatorSplittingAlgorithmforMulti-TermNonsmoothConvexCompositeOptimizationLiShen1WeiLiu1GanzhaoYuan2ShiqianMa3Abstractdifferentiableconvexfunctionwithitsgradientsatisfyingtheinequ...
for Operator Algorithm Gauss-Seidel GSOS
2023-11-12 20:44:291957583.67 KB16
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Guarantees for Greedy Maximization of Non-submodular Functions with Applications
GuaranteesforGreedyMaximizationofNon-submodularFunctionswithApplicationsAndrewAnBian1JoachimM.Buhmann1AndreasKrause1SebastianTschiatschek1AbstractwhereV={v1,...,vn}isthegroundset.Speciﬁcally,inexp...
of for Maximization Guarantees Functions
2023-11-12 20:44:2915311.03 MB28
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Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares
GradientProjectionIterativeSketchforLarge-ScaleConstrainedLeast-SquaresJunqiTang1MohammadGolbabaee1MikeE.Davies1Abstractgorithms,theﬁrststreamisthestochasticgradientde-scent(SGD)anditsvariance-red...
for Gradient Constrained Iterative Projection
2023-11-12 20:44:28987369.65 KB4
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Gradient Boosted Decision Trees for High Dimensional Sparse Output
GradientBoostedDecisionTreesforHighDimensionalSparseOutputSiSi1HuanZhang2S.SathiyaKeerthi3DhruvMahajan4InderjitS.Dhillon5Cho-JuiHsieh2Abstractmulti-labellearningandmulti-classclassiﬁcationbelongto...
for Gradient High Boosted Trees
2023-11-12 20:44:271460648.54 KB18
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