Presentation | 2002/12/12 Singular Learning Machines in Pattern Recognition Sumio WATANABE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A lot of learning machines such as hidden Markov models, layered neural networks, gaussian mixtures, reduced rank regressions, and Boltzmann machines are singular statistical models. The learning theory of regular statistical models can not be applied to them. In this paper we discuss the role of singular statistical models in pattern recognition. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Singular statistical models / hidden Markov models / pattern recognition. |
Paper # | NLC2002-49 |
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Conference Information | |
Committee | NLC |
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Conference Date | 2002/12/12(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 | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Singular Learning Machines in Pattern Recognition |
Sub Title (in English) | |
Keyword(1) | Singular statistical models |
Keyword(2) | hidden Markov models |
Keyword(3) | pattern recognition. |
1st Author's Name | Sumio WATANABE |
1st Author's Affiliation | PI Lab., Tokyo Institute of Technology() |
Date | 2002/12/12 |
Paper # | NLC2002-49 |
Volume (vol) | vol.102 |
Number (no) | 527 |
Page | pp.pp.- |
#Pages | 6 |
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