Machine learning by a subset of hypotheses

Takafumi Mukouchi, Toshiyasu Matsushima, Shigeichi Hirasawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Bayesian theory is effective in statistics, lossless, source coding, machine learning, etc. It is often, however, computationally expensive since the calculation of posterior probabilities and of mixture distributions is not tractable. In this paper, we propose a new method for approximately calculating mixture distributions in a discrete hypothesis class.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics
PublisherIEEE
Pages2533-2538
Number of pages6
Volume3
Publication statusPublished - 1997
Externally publishedYes
EventProceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - Orlando, FL, USA
Duration: 1997 Oct 121997 Oct 15

Other

OtherProceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5)
CityOrlando, FL, USA
Period97/10/1297/10/15

Fingerprint

Set theory
Learning systems
Statistics

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering

Cite this

Mukouchi, T., Matsushima, T., & Hirasawa, S. (1997). Machine learning by a subset of hypotheses. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (Vol. 3, pp. 2533-2538). IEEE.

Machine learning by a subset of hypotheses. / Mukouchi, Takafumi; Matsushima, Toshiyasu; Hirasawa, Shigeichi.

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Vol. 3 IEEE, 1997. p. 2533-2538.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mukouchi, T, Matsushima, T & Hirasawa, S 1997, Machine learning by a subset of hypotheses. in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. vol. 3, IEEE, pp. 2533-2538, Proceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5), Orlando, FL, USA, 97/10/12.
Mukouchi T, Matsushima T, Hirasawa S. Machine learning by a subset of hypotheses. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Vol. 3. IEEE. 1997. p. 2533-2538
Mukouchi, Takafumi ; Matsushima, Toshiyasu ; Hirasawa, Shigeichi. / Machine learning by a subset of hypotheses. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Vol. 3 IEEE, 1997. pp. 2533-2538
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