Bayesian Network Structure Learning

Language: English

Published by LAP LAMBERT Academic Publishing Jun 2018, 2018

3330086912 / 9783330086913

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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Softcover

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This item is printed on demand - it takes 3-4 days longer - Neuware -Structure learning is a very important problem in the field of Bayesian networks (BNs). It is also an active research area for more than two decades; therefore, many approaches have been proposed in order to find an optimal structure based on training samples. In this book, we shortly introduce BNs and structure learning in them; then, a Particle Swarm Optimization (PSO)-based algorithm is proposed to solve the BN structure learning problem. In the proposed algorithm, which named BNC-PSO (Bayesian Network Construction algorithm using PSO), edge inserting/deleting is employed to make the particles have the ability to achieve the optimal solution, while a cycle removing procedure is used to prevent the generation of invalid solutions. The theorem of Markov chain is also used to prove the global convergence of the proposed algorithm. Finally, some experiments are designed to evaluate the performance of the proposed PSO-based algorithm. Experimental results indicate that BNC-PSO is worthy of being studied in the field of BNs construction. Meanwhile, it can significantly increase nearly 15% in the scoring metric values, comparing with other optimization-based algorithms. 64 pp. Englisch.…

Seller Inventory # 9783330086913

Title
Bayesian Network Structure Learning
Author
Soulmaz Gheisari
Publisher
LAP LAMBERT Academic Publishing Jun 2018
Publication year
2018
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3330086912
ISBN 13
9783330086913
Item weight
113 grams
Dimensions
220x150x4 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

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BuchWeltWeit Ludwig Meier e.K.

Germany