Presentation | 2003/1/28 Extended Formula for Divergence Measures using Invariance Masato UCHIDA, Hiroyuki SHIOYA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The discriminant measure (information divergence) "f-divergence", which is used as a generalized phenotype of discriminant measures between two probability distributions, is defined by using a class of convex functions. In this paper, we derive a new class of discriminant measures defined on the set of all positive finite measures using the invariance of f-divergence. We mention some of its effectiveness concerning the extension of divergence measures by showing that the proposed class includes measures that facilitate statistical data processing and are suitable for the explicit formulation and analysis of the ensemble learning method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Invariance of f-divergence / α-divergence / Positive Finite Measure / Ensemble Learning |
Paper # | NC2002-133 |
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Committee | NC |
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Conference Date | 2003/1/28(1days) |
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Registration To | Neurocomputing (NC) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Extended Formula for Divergence Measures using Invariance |
Sub Title (in English) | |
Keyword(1) | Invariance of f-divergence |
Keyword(2) | α-divergence |
Keyword(3) | Positive Finite Measure |
Keyword(4) | Ensemble Learning |
1st Author's Name | Masato UCHIDA |
1st Author's Affiliation | Nippon Telegraph and Telephone Corporation, NTT Service Integration Laboratories() |
2nd Author's Name | Hiroyuki SHIOYA |
2nd Author's Affiliation | Department of Computer Science and Systems Engineering, Muroran Institute of Technology |
Date | 2003/1/28 |
Paper # | NC2002-133 |
Volume (vol) | vol.102 |
Number (no) | 628 |
Page | pp.pp.- |
#Pages | 6 |
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