Presentation | 2009-12-21 A Searching Method of Plural Dynamic Bayesian Networks Structures Using an Evolutionary Algorithm Kosuke SHIBATA, Hidehiro NAKANO, Arata MIYAUCHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper presents a learning method of Dynamic Bayesian Network(DBN)structure using an Immune Algorithm (IA). In the conventional research, the learning methods for DBN structure using heuristic method have been proposed. The conventional methods can acquire only single structure. However, it is better to acquire plural structures and to select them based on experiences and experiments. This paper studies the method that can acquire various DBN structures. We evaluate the effectiveness of the proposed method through numerical experiments. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Dynamic Bayesian Network / Structure Learning / evolutionary algorithm / Immune algorithm |
Paper # | NLP2009-132 |
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Committee | NLP |
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Conference Date | 2009/12/14(1days) |
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Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Searching Method of Plural Dynamic Bayesian Networks Structures Using an Evolutionary Algorithm |
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Keyword(1) | Dynamic Bayesian Network |
Keyword(2) | Structure Learning |
Keyword(3) | evolutionary algorithm |
Keyword(4) | Immune algorithm |
1st Author's Name | Kosuke SHIBATA |
1st Author's Affiliation | Tokyo City Univercity() |
2nd Author's Name | Hidehiro NAKANO |
2nd Author's Affiliation | Tokyo City Univercity |
3rd Author's Name | Arata MIYAUCHI |
3rd Author's Affiliation | Tokyo City Univercity |
Date | 2009-12-21 |
Paper # | NLP2009-132 |
Volume (vol) | vol.109 |
Number (no) | 354 |
Page | pp.pp.- |
#Pages | 4 |
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