| Presentation | 1998/3/19 On Boltzmann Machine Learning Algorithms Using Fisher Information Matrices Tetsuya Kojima, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Boltzmann machine learning is an algorithm which approximates the given probability distribution with its stochastically equilibrium distribution, but it requires much computational time in computer simulations. From the information-theoretical point of view, it has been known that Fisher information matrices make natural parameters of the Boltzmann distribution converge straight the most likelihood estimator of the given probability distribution. In this paper, numerical studies show some properties of the Boltzmann machine learning using Fisher information matrices in both cases where they have all of the elements and where only the diagonal elements are contained in them. Introduction to associative memory model is also presented. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Boltzmann machines / learning algorithms / Fisher information matrix / exponential family / associative memory model |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1998/3/19(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 | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | On Boltzmann Machine Learning Algorithms Using Fisher Information Matrices |
| Sub Title (in English) | |
| Keyword(1) | Boltzmann machines |
| Keyword(2) | learning algorithms |
| Keyword(3) | Fisher information matrix |
| Keyword(4) | exponential family |
| Keyword(5) | associative memory model |
| 1st Author's Name | Tetsuya Kojima |
| 1st Author's Affiliation | Graduate School of Information Systems, University of Electro-Communications() |
| Date | 1998/3/19 |
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| Volume (vol) | vol.97 |
| Number (no) | 623 |
| Page | pp.pp.- |
| #Pages | 8 |
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