Tight lower bound of generalization error in ensemble learning

Masato Uchida

doi:10.1109/SCIS-ISIS.2014.7044723

Tight lower bound of generalization error in ensemble learning

研究成果: Conference contribution

抄録

A machine learning method that integrates multiple component predictors into one predictor is referred to as ensemble learning. In this paper, we derive a tight lower bound of the generalization error in ensemble learning based on asymptotic analysis using a mathematical model based on an exponential mixture of probability distributions and the Kullback-Leibler divergence. In addition, we derive the explicit expression of the weight parameter used in the exponential mixture of probability distributions that minimizes the tight lower bound and discuss the property of the derived weight parameter.

本文言語	English
ホスト出版物のタイトル	2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	1130-1133
ページ数	4
ISBN（電子版）	9781479959556
DOI	https://doi.org/10.1109/SCIS-ISIS.2014.7044723
出版ステータス	Published - 2014 2 18
外部発表	はい
イベント	2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014 - Kitakyushu, Japan 継続期間: 2014 12 3 → 2014 12 6

Other

Other	2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
Country	Japan
City	Kitakyushu
Period	14/12/3 → 14/12/6

ASJC Scopus subject areas

Software
Artificial Intelligence

文献へのアクセス

10.1109/SCIS-ISIS.2014.7044723

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引用スタイル

Uchida, M. (2014). Tight lower bound of generalization error in ensemble learning. In 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014 (pp. 1130-1133). [7044723] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCIS-ISIS.2014.7044723

Tight lower bound of generalization error in ensemble learning. / Uchida, Masato.

2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1130-1133 7044723.

研究成果: Conference contribution

Uchida, M 2014, Tight lower bound of generalization error in ensemble learning. in 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014., 7044723, Institute of Electrical and Electronics Engineers Inc., pp. 1130-1133, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014, Kitakyushu, Japan, 14/12/3. https://doi.org/10.1109/SCIS-ISIS.2014.7044723

Uchida M. Tight lower bound of generalization error in ensemble learning. In 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 1130-1133. 7044723 https://doi.org/10.1109/SCIS-ISIS.2014.7044723

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