Presentation | 2003/7/21 Resolution of singularities and its application to learning theory Miki AOYAGI, Sumio WATANABE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Our purpose in this paper is to give an introduction to algebraic geometry and especially construction of the blowing-up. This construction is the main tool in the resolution of singularities of an algebraic variety. By using the blowing-up process, it can be calculated the poles of a zeta function which is the integral of the Kullback distance and a certain priori probability density funciton. Hierarchical learning machines such as layered neural networks and Gaussian mixtures are non-regular learning machines. It was proved that the largest pole of the zeta function asymptotically gives the stochastic complexity of non-regular learning machine (see[1]~[3]). |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | stochastic complexity / layered neural networks / non-regular learning machines / Bayesian estimate / resolution of singularities |
Paper # | NC2003-26 |
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Committee | NC |
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Conference Date | 2003/7/21(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) | Resolution of singularities and its application to learning theory |
Sub Title (in English) | |
Keyword(1) | stochastic complexity |
Keyword(2) | layered neural networks |
Keyword(3) | non-regular learning machines |
Keyword(4) | Bayesian estimate |
Keyword(5) | resolution of singularities |
1st Author's Name | Miki AOYAGI |
1st Author's Affiliation | Faculty of Science and Technology, Sophia University() |
2nd Author's Name | Sumio WATANABE |
2nd Author's Affiliation | Precision and Intelligence Laboratory, Tokyo Institute of Technology |
Date | 2003/7/21 |
Paper # | NC2003-26 |
Volume (vol) | vol.103 |
Number (no) | 227 |
Page | pp.pp.- |
#Pages | 6 |
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