Improving Multi-class Classifier Using Likelihood Ratio Estimation with Regularization

Masato Kikuchi, Tadachika Ozono

The universal-set naive Bayes classifier (UNB)~\cite{Komiya:13}, defined using likelihood ratios (LRs), was proposed to address imbalanced classification problems. However, the LR…