Presentation | 1998/6/19 Optimal Selection of the Number of Components in Classifiers based on Mixture Models Hiroshi TENMOTO, Mineichi KUDO, Masaru SHIMBO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a new method for selection of the number of components of a mixture model for pattern classifiers. In previous methods, the optimal number of components is selected independently for each class. When the main concern is classification and only a limited number of training samples is available, consideration of class-separability may be helpful. One selection criterion is based on a classification-oriented MDL(Minimum Description Length)principle. In this method, we evaluate each classifier by both the classification accuracy for the training samples and the complexity of the classifier itself. We select the optimal combination of the number of components by a trade-off between the two factors. The effectiveness of the proposed method was confirmed by experiments using artificial and real data. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Mixture Model / Classifier / Minimum Description Length Principle |
Paper # | PRMU98-42 |
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Committee | PRMU |
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Conference Date | 1998/6/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Optimal Selection of the Number of Components in Classifiers based on Mixture Models |
Sub Title (in English) | |
Keyword(1) | Mixture Model |
Keyword(2) | Classifier |
Keyword(3) | Minimum Description Length Principle |
1st Author's Name | Hiroshi TENMOTO |
1st Author's Affiliation | Division of Systems and Information Engineering Graduate School of Engineering Hokkaido University() |
2nd Author's Name | Mineichi KUDO |
2nd Author's Affiliation | Division of Systems and Information Engineering Graduate School of Engineering Hokkaido University |
3rd Author's Name | Masaru SHIMBO |
3rd Author's Affiliation | Division of Systems and Information Engineering Graduate School of Engineering Hokkaido University |
Date | 1998/6/19 |
Paper # | PRMU98-42 |
Volume (vol) | vol.98 |
Number (no) | 127 |
Page | pp.pp.- |
#Pages | 5 |
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