Very Large Bayesian Networks in Text Classification

Abstract

The paper presents results of empirical evaluation of a Bayesian multinet classifier based on a new method of learning very large tree-like Bayesian networks. The study suggests that tree-like Bayesian networks are able to handle a classification task in one hundred thousand variables with sufficient speed and accuracy.KeywordsBayesian NetworkText CategorizationDiscussion GroupEdge TreeBayesian Network StructureThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.