A generalization of independence in naive bayes model

Yu Fujimoto; Noboru Murata

doi:10.1007/978-3-642-15381-5_19

A generalization of independence in naive bayes model

Yu Fujimoto^*, Noboru Murata

^*この研究の対応する著者

先進理工学部

研究成果: Conference contribution

8 被引用数 (Scopus)

抄録

In this paper, generalized statistical independence is proposed from the viewpoint of generalized multiplication characterized by a monotonically increasing function and its inverse function, and it is implemented in naive Bayes models. This paper also proposes an idea of their estimation method which directly uses empirical marginal distributions to retain simplicity of calculation. Our method is interpreted as an optimization of a rough approximation of the Bregman divergence so that it is expected to have a kind of robust property. Effectiveness of our proposed models is shown by numerical experiments on some benchmark data sets.

本文言語	English
ホスト出版物のタイトル	Intelligent Data Engineering and Automated Learning, IDEAL 2010 - 11th International Conference, Proceedings
ページ	153-161
ページ数	9
DOI	https://doi.org/10.1007/978-3-642-15381-5_19
出版ステータス	Published - 2010 11月 8
イベント	11th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2010 - Paisley, United Kingdom 継続期間: 2010 9月 1 → 2010 9月 3

出版物シリーズ

名前	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
巻	6283 LNCS
ISSN（印刷版）	0302-9743
ISSN（電子版）	1611-3349

Conference

Conference	11th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2010
国/地域	United Kingdom
City	Paisley
Period	10/9/1 → 10/9/3

ASJC Scopus subject areas

理論的コンピュータサイエンス
コンピュータサイエンス（全般）

文献へのアクセス

10.1007/978-3-642-15381-5_19

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引用スタイル

Fujimoto, Y., & Murata, N. (2010). A generalization of independence in naive bayes model. In Intelligent Data Engineering and Automated Learning, IDEAL 2010 - 11th International Conference, Proceedings (pp. 153-161). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6283 LNCS). https://doi.org/10.1007/978-3-642-15381-5_19

A generalization of independence in naive bayes model. / Fujimoto, Yu; Murata, Noboru.
Intelligent Data Engineering and Automated Learning, IDEAL 2010 - 11th International Conference, Proceedings. 2010. p. 153-161 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6283 LNCS).

研究成果: Conference contribution

Fujimoto, Y & Murata, N 2010, A generalization of independence in naive bayes model. in Intelligent Data Engineering and Automated Learning, IDEAL 2010 - 11th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6283 LNCS, pp. 153-161, 11th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2010, Paisley, United Kingdom, 10/9/1. https://doi.org/10.1007/978-3-642-15381-5_19

Fujimoto Y, Murata N. A generalization of independence in naive bayes model. In Intelligent Data Engineering and Automated Learning, IDEAL 2010 - 11th International Conference, Proceedings. 2010. p. 153-161. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-15381-5_19

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A generalization of independence in naive bayes model

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出版物シリーズ

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