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The Bayesian classifier model is a class of probability classifier based on the Bayesian theory. Compared with more sophisticated classification algorithms, such as decision tree and neural network, Bayesian classifier can offer very good classification accuracy in many practical applications. In this article, we perform a methodologically sound comparison of the seven methods, which shows large mutual...
MBBNTree algorithm, which integrates the advantage of Markov blanket Bayesian networks (MBBN) and decision tree, would behave better performance than other Bayesian networks for classification. But the available training samples with actual classes are not enough for building MBBNTree classifier in practice. Active learning aims at reducing the number of training examples to be labeled by automatically...
MBBCTree algorithm, which integrates the advantage of Markov blanket Bayesian networks (MBBC) and Decision Tree, performances better than other Bayesian Networks for classification. But MBBCTree classifier was built by the traditional passive learning. The available training samples with actual classes are not enough for passive learning method for modelling MBBCTree classifier in practice. Active...
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