Invariant-EquivariantRepresentationLearningforMulti-ClassDataIlyaFeige1Abstractchinelearningmodels(Mahendran&Vedaldi,2015),andmeaningfullystructured(disentangled)representationscanRepresentationsle...
AUCµ:APerformanceMetricforMulti-ClassMachineLearningModelsRossS.Kleiman1DavidPage12AbstractMulti-ClassAUCanalog.However,inourworkweshowthatMcanfailtoreturnascoreof1(perfectperformance),Theareaunde...
Candidatesvs.NoisesEstimationforLargeMulti-ClassClassificationProblemLeiHan1YihengHuang1TongZhang1Abstractforestimatingprobabilitydensitiesandhasbeenappliedtovariouslanguagemodelingsituations,sucha...
ASimpleMulti-ClassBoostingFrameworkwithTheoreticalGuaranteesandEmpiricalProficiencyRonAppel1PietroPerona1Abstract(a)Old:DecisionStumps(b)New:LocalizedSimilaritiesThereisaneedforsimpleyetaccuratewhi...
ScalableMulti-ClassGaussianProcessClassificationusingExpectationPropagationCarlosVillacampa-Calvo1DanielHerna´ndez-Lobato1Abstractless,inspiteoftheseadvantages,GPsscalepoorlytolargedatasetsbecause...
Multi-ClassOptimalMarginDistributionMachineTengZhang1Zhi-HuaZhou1AbstractRecently,themargintheoryforBoostinghasfinallybeendefended(Gao&Zhou,2013),andhasdisclosedthattheRecentstudiesdisclosethatmaxi...