Rough problem settings for inductive logic programming

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1711, Issue , 1999, Pages 168-177

  Liu, Chunnian ^a   Zhong, Ning ^b  

^a BEIJING UNIVERSITY OF TECHNOLOGY   (China)

^b YAMAGUCHI UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATION THEORY; COMPUTER CIRCUITS; DATA MINING; LEARNING SYSTEMS; RECONFIGURABLE HARDWARE; ROUGH SET THEORY; SOFT COMPUTING;

ATTRIBUTE VALUES; BACK-GROUND KNOWLEDGE; EXPRESSIVE POWER; IMPERFECT DATA; LEARNING METHODS; REAL-WORLD; TRAINING EXAMPLE; WEAK POINTS;

INDUCTIVE LOGIC PROGRAMMING (ILP);

EID: 84958058821     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-48061-7_21     Document Type: Conference Paper

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