@inproceedings{1e722b8ce6f84221886667dc0b6eb765,
title = "Improving Na{\"i}ve Bayes text classifier with modified EM algorithm",
abstract = "This paper presents the method of significantly improving conventional Bayesian statistical text classifier by incorporating accelerated EM (Expectation Maximization) algorithm. EM algorithm experiences a slow convergence and performance degrade in its iterative process, especially when real textual documents do not follow EM{\textquoteright}s assumptions. We propose a new accelerated EM algorithm that is simple yet has a fast convergence speed and allow to estimate a more accurate classification model on Bayesian text classifier.",
keywords = "Classification uncertainty, EM algorithm, Na{\"i}ve Bayes, Selective sampling, Text classification",
author = "Kim, {Han Joon} and Chang, {Jae Young}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2003.; 14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003 ; Conference date: 28-10-2003 Through 31-10-2003",
year = "2003",
doi = "10.1007/978-3-540-39592-8_45",
language = "English",
isbn = "3540202560",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "326--333",
editor = "Ning Zhong and Ras, {Zbigniew W.} and Shusaku Tsumoto and Einoshin Suzuki",
booktitle = "Foundations of Intelligent Systems - 14th International Symposium, ISMIS 2003, Proceedings",
address = "Germany",
}