Learning by discovering conflicts

George V. Lashkia, Laurence Anthony

研究成果: Conference contribution

抄録

The paper describes a novel approach to inductive learning based on a ‘conflict estimation based learning’ (CEL) algorithm. CEL is a new learning strategy, and unlike conventional methods CEL does not construct explicit abstractions of the target concept. Instead, CEL classifies unknown examples by adding them to each class of the training examples and measuring how much noise is generated. The class that results in the least noise, i.e., the class that least conflicts with the given example is chosen as the output. In this paper, we describe the underlying principles behind the CEL algorithm, a methodology for its construction, and then summarize convincing empirical evidence that suggests that CEL can be a perfect solution in real-world decision making applications.

本文言語English
ホスト出版物のタイトルAdvances in Artificial Intelligence - 16th Conference of the Canadian Society for Computational Studies of Intelligence, AI 2003, Proceedings
編集者Yang Xiang, Brahim Chaib-Draa
出版社Springer Verlag
ページ492-497
ページ数6
ISBN(印刷版)3540403000, 9783540448860
DOI
出版ステータスPublished - 2003 1 1
外部発表はい
イベント16th Conference of the Canadian Society for Computational Studies of Artificial Intelligence, AI 2003 - Halifax, Canada
継続期間: 2003 6 112003 6 13

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2671
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference16th Conference of the Canadian Society for Computational Studies of Artificial Intelligence, AI 2003
国/地域Canada
CityHalifax
Period03/6/1103/6/13

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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