A Semi-Supervised Adaptive Discriminative Discretization Method Improving Discrimination Power of Regularized Naive Bayes. (arXiv:2111.10983v2 [cs.LG] UPDATED)

Recently, many improved naive Bayes methods have been developed with enhanced
discrimination capabilities. Among them, regularized naive Bayes (RNB) produces
excellent performance by balancing the discrimination power and generalization
capability. Data discretization is important in naive Bayes. By grouping
similar values into one interval, the data distribution could be better
estimated. However, existing methods including RNB often discretize the data
into too few intervals, which may result in a significant information loss. To
address this problem, we propose a semi-supervised …

arxiv bayes discrimination power semi-supervised