Semi-supervised Bayesian network classifier learning based on inter-relation mining among attributes

Abstract

Semi-supervised Learning as an efficient paradigm has been applied to many research areas, it also becomes one of the research focuses in machine learning and knowledge discovery. Traditionally, most classification models are built by supervised learning procedure, which leads to high rate of misclassification when test samples are significantly more than… (More)

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