• # bnlearn

• Referenced in 62 articles [sw08265]
• network structure learning, parameter learning and inference. Bayesian network structure learning, parameter learning and inference ... tests. The Naive Bayes and the Tree-Augmented Naive Bayes (TAN) classifiers are also implemented ... support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries and cross...
• # BAYES-NEAREST

• Referenced in 4 articles [sw02847]
• presents a new hybrid classifier that combines the probability based Bayesian Network paradigm with ... Nearest Neighbor distance based algorithm. The Bayesian Network structure is obtained from the data ... algorithm is used in combination with the Bayesian Network in the deduction phase. For those ... with the Bayesian Network paradigm and with the well known Naive Bayes classifier in some...