A Novel Bayesian Classifier using Copula Functions

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dc.creatorSathe, Saket
dc.date2006-11-29
dc.date2006-12-05
dc.date.accessioned2026-07-07T07:31:47Z
dc.date.available2026-07-07T07:31:47Z
dc.descriptionA useful method for representing Bayesian classifiers is through \emph{discriminant functions}. Here, using copula functions, we propose a new model for discriminants. This model provides a rich and generalized class of decision boundaries. These decision boundaries significantly boost the classification accuracy especially for high dimensional feature spaces. We strengthen our analysis through simulation results.
dc.identifierhttps://arxiv.org/abs/cs/0611150
dc.identifierhttp://arxiv.org/abs/cs/0611150
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/118883
dc.subjectMachine Learning
dc.subjectArtificial Intelligence
dc.subjectInformation Retrieval
dc.titleA Novel Bayesian Classifier using Copula Functions
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