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A New Bayesian Network Structure for Classification Tasks
[chapter]
2002
Lecture Notes in Computer Science
This paper introduces a new Bayesian network structure, named a Partial Bayesian Network (PBN), and describes an algorithm for constructing it. The PBN is designed to be used for classification tasks, and accordingly the algorithm constructs an approximate Markov blanket around a classification node. Initial experiments have compared the performance of the PBN algorithm with Naïve Bayes, Tree-Augmented Naïve Bayes and a general Bayesian network algorithm (K2). The results indicate that PBN
doi:10.1007/3-540-45750-x_27
fatcat:ixkr43cvfnfwzmed2t246l2w74