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J-GLOBAL ID：200902090533095730   Reference number：92A0359835

Introduction to MDL from Viewpoints of Computational Learning Theory.

MDL入門:計算論的学習理論の立場から

Author (1)： YAMANISHI KENJI (日本電気 C&C情報研)
Material： 人工知能学会誌  (Journal of the Japanese Society for Artificial Intelligence)
Volume： 7  Issue： 3  Page： 435-442  Publication year： May. 1992 
JST Material Number： X0330A  ISSN： 0912-8085  Document type： Article
Article type： 解説  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： artificial intelligence ,...

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JST classification (2)： Artificial intelligence  (JE08000Z) ,  Theory of computation  (JB02000A)

Reference (11)：

• RISSANEN, J. Modeling by shortest data description. Automatica. 1978, 14, 465-471
• RISSANEN, J. Stochastic Complexity in Statistical Inquiry. World Scientific, Series in Comp. Sci. 1989, 15
• QUINLAN, J. R. Inferring decision tressusing the minimum description length principle. Inf. and Comp. 1989, 80, 3, 227-248
• YAMANISHI, K. A learning criterion for stochasticrules. Proc. of the Third Annual Workshop on Computational Learning Theory. 1990, 67-81
• KEARNS, M. Efficient distribution-free learning of probabilistic concepts. Proc. of the 31st FOCS. 1990, 382-391

Terms in the title (1)： 計算論的学習理論