An efficient parameter estimation method for generalized Dirichlet priors in naïve Bayesian classifiers with multinomial models-Reference-Cited by-同舟云学术

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An efficient parameter estimation method for generalized Dirichlet priors in naïve Bayesian classifiers with multinomial models

Published:2016-12 Issue: Volume:60 Page:62-71
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Wong Tzu-Tsung,Liu Chao-Rui

Funder

National Science Council in Taiwan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference15 articles.

1. Intelligent naïve Bayes-based approaches for Web proxy caching;Ali;Knowl.-Based Syst.,2012

2. Comparing text classifiers for sports news, Procedia;Zakzouk;Technology,2012

3. Feature selection for text classification with naive Bayes;Chen;Expert Syst. Appl.,2008

4. Generalized Dirichlet priors for naive Bayesian classifiers with multinomial models in document classification;Wong;Data Min. Knowl. Discov.,2014

5. K.M. Schneider, A comparison of event models for naive Bayes anti-spam e-mail filtering, in: Proceedings of the 10th Conference on European Chapter of the Association for Computational Linguistics, 2003, pp. 307–314.

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