Presentation | 2002/9/12 From Bioinformatics to Natural Language Processing : New applications of Patten Recognition Techniques Eisaku MAEDA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The significant performance of Support Vector Machines (SVM) proposed by Vapnik has been demonstrated by applying to various kinds of real problems. Especially SVM shows high generalization performance even in the case of small sample number in much higher dimensionality of the feature space, in which conventional machine leaning techniques do not work well. In this paper I will introduce new applications of pattern recognition techiques, such as natural language processing and bioinformatics. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Machine Learning / DNA Expression Analysis / Question Answering / Support Vector Machine |
Paper # | WIT2002-17 |
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Committee | WIT |
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Conference Date | 2002/9/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Well-being Information Technology(WIT) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | From Bioinformatics to Natural Language Processing : New applications of Patten Recognition Techniques |
Sub Title (in English) | |
Keyword(1) | Machine Learning |
Keyword(2) | DNA Expression Analysis |
Keyword(3) | Question Answering |
Keyword(4) | Support Vector Machine |
1st Author's Name | Eisaku MAEDA |
1st Author's Affiliation | NTT Communication Science Laboratories() |
Date | 2002/9/12 |
Paper # | WIT2002-17 |
Volume (vol) | vol.102 |
Number (no) | 319 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |