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- W1570847424 abstract "Bayesian network (BN) is a directed acyclic graph encoding probabilistic independence statements between variables. BN with decision attribute as a root can be applied to classification of new cases, by synthesis of conditional probabilities propagated along the edges. We consider approximate BNs, which almost keep entropy of a decision table. They have usually less edges than classical BNs. They enable to model and extend the well-known Naive Bayes approach. Experiments show that classifiers based on approximate BNs can be very efficient." @default.
- W1570847424 created "2016-06-24" @default.
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- W1570847424 date "2002-01-01" @default.
- W1570847424 modified "2023-10-18" @default.
- W1570847424 title "Approximate Bayesian Network Classifiers" @default.
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- W1570847424 doi "https://doi.org/10.1007/3-540-45813-1_48" @default.
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