Using unlabeled data to improve classification in the naive bayes approach: Application to web searches
Stella M. Salvatierra · Journal of Computational Methods in Sciences and Engineering · 2004
This paper introduces a method to build a classifier based on labelled and unlabelled data. We set up the Expectation-Maximization (EM) algorithm steps for the particular case of the naive Bayes approach and show empirical work for the restricted web