Art

J-GLOBAL ID：201502272832801002   Reference number：15A0170603

Compact Genetic Algorithmを導入した学習分類子システムによる分類子数の削減

Author (5)： NAKATA MASAYA (電通大 大学院) ,  NAKATA MASAYA (日本学術振興会) ,  PIERU RUKARANCHI (ミラノ工科大) ,  TAJIMA TOMOHIRO (電通大 大学院) ,  TAKADAMA KEIKI (電通大 大学院)
Material： 情報処理学会研究報告(Web)  (IPSJ Technical Report (Web))
Volume： 2013  Issue： MPS-95  Page： WEB ONLY VOL.2013-MPS-95,NO.4  Publication year： Sep. 19, 2013 
JST Material Number： U0451A  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *machine learning ,  *automatic classification ,  *stochastic model ,  reinforcement learning ,  supervised learning ,  evaluation test ,  solution(mathematics) ,  *genetic algorithm ,  learning algorithm ,  optimization
Semi thesaurus term： optimal solution ,  classifier

JST classification (3)： Artificial intelligence  (JE08000Z) ,  System and control theory in general  (IA02010H) ,  Other methods of operations research  (KA03070E)

Reference (18)：

• Bacardit, J. and Butz, M. V.: Data Mining in Learning Classifier Systems: Comparing XCS with G Assist, IlliGAL Report No. 2004030 (2004).
• Bernadó-mansilla, E. and M.Garrell-Guij, J.: Accuracy-based Learning Classifier Systems: Models, Analysis and Applications to Classification Tasks, Evolutionary Computation, Vol. 11, pp. 209-238 (2003).
• Butz, M. V.: Rule-Based Evolutionary Online Learning Systems, Springer (2006).
• Butz, M. V., Goldberg, D. E. and Tharakunnel, K.: Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy, Evolutionary Computation, Vol. 11, No. 3, pp. 239-277 (2003).
• Butz, M. V., Goldberg, D. and Lanzi, P. L.: Gradient Descent Methods in Learning Classifier Systems: Improving XCS Performance in Multistep Problems, Evolutionary Computation, Vol. 9, No. 5, pp. 452-473 (2005).

Terms in the title (2)： 学習分類子システム ,  分類子