A Probability-based Evolutionary Algorithm with Mutations to Learn Bayesian Networks
Bayesian networks are regarded as one of the essential tools to analyze causal relationship between events from data. To learn the structure of highly-reliable Bayesian networks from data as quickly as possible is one of the important problems that several studies have been tried to achieve. In rece...
Main Authors: | Sho Fukuda, Yuuma Yamanaka, Takuya Yoshihiro |
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Format: | Article |
Language: | English |
Published: |
Universidad Internacional de La Rioja (UNIR)
2014-12-01
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Series: | International Journal of Interactive Multimedia and Artificial Intelligence |
Subjects: | |
Online Access: | http://www.ijimai.org/journal/sites/default/files/files/2014/11/ijimai20143_1_1_pdf_24199.pdf |
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