Presentation | 1996/2/2 A Study of Learning Paths and Topological properties of Information Measures Hiroyuki SHIOYA, Takanori KONDO, Tetsuya KOJIMA, Tsutomu DA-TE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | From the view of information measures,the Boltzman machine learning makes the distribution close to the target distribution in the sense of kullback divergence. Hypothesises from the Boltzman machine learning with two units using the several divergences are always same as the target distribution. α-divergence is one of distance-like criteria between two probability distributions and equal to kullback divergence in the limited behavior. But both divergences have the different characteristics on toplogical properties in a space of all probability ditributions. In this study, we show the relation between information measures used in the Boltzman machine learning and learning paths in the parameter space. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Boltzman machine / learning path / information Measure |
Paper # | NC95-93 |
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Committee | NC |
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Conference Date | 1996/2/2(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Study of Learning Paths and Topological properties of Information Measures |
Sub Title (in English) | |
Keyword(1) | Boltzman machine |
Keyword(2) | learning path |
Keyword(3) | information Measure |
1st Author's Name | Hiroyuki SHIOYA |
1st Author's Affiliation | Faculity of Engineering, Hokkaidou University() |
2nd Author's Name | Takanori KONDO |
2nd Author's Affiliation | Faculity of Engineering, Hokkaidou University |
3rd Author's Name | Tetsuya KOJIMA |
3rd Author's Affiliation | Faculity of Engineering, Hokkaidou University |
4th Author's Name | Tsutomu DA-TE |
4th Author's Affiliation | Faculity of Engineering, Hokkaidou University |
Date | 1996/2/2 |
Paper # | NC95-93 |
Volume (vol) | vol.95 |
Number (no) | 505 |
Page | pp.pp.- |
#Pages | 5 |
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