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 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.
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Keyword(in English) Dynamic Bayesian Network / Structure Learning / evolutionary algorithm / Immune algorithm
Paper # NLP2009-132
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Conference Information
Committee NLP
Conference Date 2009/12/14(1days)
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Registration To Nonlinear Problems (NLP)
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
Sub Title (in English)
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
Date of Issue