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标签“Kernel”的相关文档，共56条

Kernel Methods for Cooperative Multi-Agent Learning with Delays
KernelMethodsforCooperativeContextualBanditsAbhimanyuDubey1AlexPentland1Abstracttoselectactionsthatminimizetheexpectedgroupregret:Cooperativemulti-agentdecisionmakinginvolvesTagroupofagentscooperat...
Learning for Kernel with Methods
2023-11-14 21:44:46767594.24 KB26
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Kernel interpolation with continuous volume sampling
KernelInterpolationWithContinuousVolumeSamplingAyoubBelhadji1Re´miBardenet1PierreChainais1Abstractandonthecorrespondingweightsw1,...,wN,suchthattheRKHSnormAfundamentaltaskinKernelmethodsistopickno...
Kernel Sampling with Continuous Interpolation
2023-11-14 21:44:4510151.73 MB13
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Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features
GeneralizationGuaranteesforSparseKernelApproximationwithEntropicOptimalFeaturesLiangDing1RuiTuo1ShahinShahrampour1AbstractSupportVectorMachines(SVM)).Despitetheirsuccess,KernelmethodssufferfromInth...
for Kernel Sparse Approximation with
2023-11-14 21:44:211504557.11 KB24
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Convolutional Kernel Networks for Graph-Structured Data
ConvolutionalKernelNetworksforGraph-StructuredDataDexiongChen1LaurentJacob2JulienMairal1AbstractGraphKernelshaveshowntobeexpressiveenoughtoyieldgoodempiricalresults,butdecoupledatarepresentationand...
for Kernel Networks Data Convolutional
2023-11-14 21:43:391319426.01 KB29
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Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension
UniformConvergenceRateoftheKernelDensityEstimatorAdaptivetoIntrinsicVolumeDimensionJisuKim1JaehyeokShin2AlessandroRinaldo2LarryWasserman2Abstractciallyinrecentyears,hasalsobecomeakeystepinmanygeome...
of Kernel Convergence the Density
2023-11-13 14:48:541124309.08 KB29
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Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel $k$-means Clustering
TightKernelQueryComplexityofKernelRidgeRegressionandKernelk-meansClusteringManuelFerna´ndez1DavidP.Woodruff1TaisukeYasuda2Abstractbetweentwodatapointswiththeirinnerproductafterap-plyingaKernelmap,...
of Kernel Complexity Regression Ridge
2023-11-13 14:48:47917329.86 KB23
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The Kernel Interaction Trick Fast Bayesian Discovery of Pairwise Interactions in High Dimensions
TheKernelInteractionTrick:FastBayesianDiscoveryofPairwiseInteractionsinHighDimensionsRajAgrawal1JonathanH.Huggins2BrianL.Trippe1TamaraBroderick1Abstractsearchersseektocharacterizehowindividual-leve...
Kernel Discovery the Bayesian Fast
2023-11-13 14:48:467711.07 MB13
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Scalable Learning in Reproducing Kernel Krein Spaces
ScalableLearninginReproducingKernelKre˘ınSpacesDinoOglic1ThomasGärtner2AbstractandSmola,2001).TheNyströmmethod(Nyström,1930;SmolaandSchölkopf,2000;WilliamsandSeeger,2001)isWeprovidetheﬁrstma...
Learning Kernel in Spaces Scalable
2023-11-13 14:48:281784431.79 KB9
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Rehashing Kernel Evaluation in High Dimensions
RehashingKernelEvaluationinHighDimensionsParisSiminelakis1KexinRong1PeterBailis1MosesCharikar1PhilipLevis1Abstract(a)Kernel(b)difﬁcultcase(c)simplecaseKernelmethodsareeffectivebutdonotscalewellFig...
Kernel in High Dimensions Evaluation
2023-11-13 14:48:2310211.4 MB6
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Optimality Implies Kernel Sum Classifiers are Statistically Efficient
OptimalityImpliesKernelSumClassiﬁersareStatisticallyEfﬁcientRaphaelA.Meyer1JeanHonorio1AbstractweconsiderbinaryclassiﬁcationwithKernelSupportVec-torMachines(SVM),whicharecomputedbysolvingaWeprop...
Kernel Sum Are Classifiers Implies
2023-11-13 14:48:10905385.48 KB27
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Online learning with Kernel losses
OnlinelearningwithKernellossesAldoPacchiano1NiladriS.Chatterji1PeterL.Bartlett1Abstracttheendofeachround.Another,morechallengingfeedbackmodelisthepartialinformationorbanditfeedbackmodelWepresentage...
Learning Kernel Online with Losses
2023-11-13 14:48:081655353.79 KB7
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Nearest Neighbor and Kernel Survival Analysis Nonasymptotic Error Bounds and Strong Consistency Rates
NearestNeighborandKernelSurvivalAnalysis:NonasymptoticErrorBoundsandStrongConsistencyRatesGeorgeH.Chen1AbstractToestimateS,weassumethatwehaveaccesstontrainingsubjects.Forthei-thsubject,wehavethesub...
Kernel and Analysis Nearest neighbor
2023-11-13 14:47:577021.97 MB28
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Large-Scale Sparse Kernel Canonical Correlation Analysis
Large-ScaleSparseKernelCanonicalCorrelationAnalysisViiviUurtio12SahelyBhadra3JuhoRousu12Abstract&Livescu,2016;Uurtioetal.,2018a)anddeeplearning(Andrewetal.,2013).TheadvantagesofKernelizingtheThispa...
Kernel Sparse Analysis Large-Scale Canonical
2023-11-13 14:47:351856382.05 KB14
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Kernel Mean Matching for Content Addressability of GANs
KernelMeanMatchingforContentAddressabilityofGANsWittawatJitkrittum1PatsornSangkloy2MuhammadWaleedGondal1AmitRaj2JamesHays2BernhardSchölkopf1AbstractInimagegenerativemodeling,itisdesirabletohavecon...
of for Kernel Matching Mean
2023-11-13 14:47:3411717.34 MB14
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Kernel Normalized Cut a Theoretical Revisit
KernelNormalizedCut:aTheoreticalRevisitYoshikazuTerada12MichioYamamoto32Abstractanunknownunderlyingdistribution,calledthepopulationdistribution.Inthissetting,asmentionedinvonLuxburgInthispaper,west...
Kernel Theoretical Normalized Cut Revisit
2023-11-13 14:47:3416282.79 MB13
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Incremental Randomized Sketching for Online Kernel Learning
IncrementalRandomizedSketchingforOnlineKernelLearningXiaoZhang1ShizhongLiao1Abstractupdatingtimesigniﬁcantly(Wangetal.,2012).Tosolvetheproblem,budgetedonlineKernellearninghasbeenproposedRandomized...
Learning for Kernel Online Incremental
2023-11-13 14:47:30655536.11 KB18
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Bayesian Deconditional Kernel Mean Embeddings
BayesianDeconditionalKernelMeanEmbeddingsKelvinHsu12FabioRamos13AbstractOurﬁrstcontributionbeginswithformulatingdeconditionalmeanembeddings(DMEs)assolutionstothisinferenceConditionalKernelmeanembe...
Kernel Embeddings Bayesian Mean Deconditional
2023-11-13 14:46:2913432.82 MB30
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A Multitask Multiple Kernel Learning Algorithm for Survival Analysis with Application to Cancer Biology
AMultitaskMultipleKernelLearningAlgorithmforSurvivalAnalysiswithApplicationtoCancerBiologyOnurDereli1CeydaOg˘uz2MehmetGo¨nen234Abstract(Cox,1972;Cox&Oakes,1984;Bakkeretal.,2004;Shiv-aswamyetal.,2...
Learning for Kernel Algorithm Multiple
2023-11-13 14:46:131073854.9 KB10
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A Kernel Theory of Modern Data Augmentation
AKernelTheoryofModernDataAugmentationTriDao1AlbertGu1AlexanderJ.Ratner1VirginiaSmith2ChristopherDeSa3ChristopherRe´1Abstractasregularizertomaketheresultingmodelmorerobust,andprovideresourcestodata...
of Kernel Data Theory Modern
2023-11-13 14:46:1311651.37 MB12
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A Kernel Perspective for Regularizing Deep Neural Networks
AKernelPerspectiveforRegularizingDeepNeuralNetworksAlbertoBietti1GrégoireMialon12DexiongChen1JulienMairal1AbstractsuchKernels,theRKHScontainsindeeddeepconvolutionalnetworkssimilartogenericones—up...
Neural for Kernel Networks Deep
2023-11-13 14:46:12856347.91 KB9
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