Batch Mode Algorithms of Classification by Feature Partitioning

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概要

• 論文の詳細を見る

• In this paper, we propose an algorithm of classification by feature partitioning (CFP) which learns concepts in the batch mode. The proposed algorithm achieved almost the same predictive accuracies as the best results of a CFP algorithm presented by Guvenir and Sirin. However, our algorithm is not affected by parameters and the order of examples.

• 一般社団法人電子情報通信学会の論文
• 1998-01-25

著者

• WATANABE Hiroyoshi

  School of Science and Engineering, Teikyo University

• Okuda Kenzo

  The Business School Sakushin Gakuin University

• Watanabe Hiroyoshi

  School Of Science And Engineering Teikyo University

• Arai Masayuki

  School Of Science And Engineering Teikyo University

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• Batch Mode Algorithms of Classification by Feature Partitioning

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