Art

J-GLOBAL ID：200902178070526757   Reference number：96A0277918

Rough Set Theory and Its Applications.

ラフ集合理論とその応用

Author (4)： NAKAMURA AKIRA (明治大 理工) ,  TSUMOTO SHUSAKU (東京医歯大 難治疾患研) ,  TANAKA HIROSHI (東京医歯大 難治疾患研) ,  KOBAYASHI SATOSHI (電通大)
Material： 人工知能学会誌  (Journal of the Japanese Society for Artificial Intelligence)
Volume： 11  Issue： 2  Page： 209-215  Publication year： Mar. 1996 
JST Material Number： X0330A  ISSN： 0912-8085  Document type： Article
Article type： 解説  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： Learning ,...

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JST classification (2)： Artificial intelligence  (JE08000Z) ,  System and control theory in general  (IA02010H)

Reference (25)：

• EFRON, B. An Introduction to the Bootstrap. 1994
• GRZYMALA-BUSSE, J. W. LERS-A system for Learning From Examples based on Rough Sets. Intelligent Decision Support, Handbook of Application and Advances of the Rough Set Theory. 1992, 3-18
• KOBAYASHI, S. An Extended Rough Set Theory Toward Approximate Learning of Formal Languages. Proc. 3rd Int. Workshop on Rough Sets and Soft Computing. 1994, 482-489
• KOBAYASHI, S. On Approximately Identifying Concept Classes in the Limit. Proc. 6th Workshop on Algorithmic Learning Theory, Lecture Notes in Artificial Intelligence, 997. 1995, 298-312
• KOBAYASHI, S. Approximately Learning Regular Languages with Respect to Reversible Languages: A Rough Set Based Analysis. Proc. 2nd Annual Joint Conf. on Information Sciences. 1995, 91-94

Terms in the title (2)： ラフ集合理論 ,  応用