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Volumn 2734, Issue , 2003, Pages 1-6

Introspective learning to build Case-based Reasoning (CBR) knowledge containers

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DATABASE SYSTEMS; KNOWLEDGE ACQUISITION; MATHEMATICAL MODELS; OPTIMIZATION; PROBLEM SOLVING; ARTIFICIAL INTELLIGENCE; CONTAINERS; LEARNING SYSTEMS; PATTERN RECOGNITION;

EID: 8344258065     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-45065-3_1     Document Type: Conference Paper
Times cited : (28)

References (14)
  • 2
    • 0030216565 scopus 로고    scopus 로고
    • Unifying instance-based and rule-based induction
    • P. Domingos. Unifying instance-based and rule-based induction. Machine Learning, 24:141-168, 1996.
    • (1996) Machine Learning , vol.24 , pp. 141-168
    • Domingos, P.1
  • 5
    • 84957587786 scopus 로고    scopus 로고
    • The adaptation knowledge bottleneck: How to ease it by learning from cases
    • LNAI 1226, Providence, RI, Springer
    • K. Hanney and M.T. Keane. The adaptation knowledge bottleneck: How to ease it by learning from cases. In Proceedings of the 2nd International Conference on Case Based Reasoning, LNAI 1226, pages 359-370, Providence, RI, 1997. Springer.
    • (1997) Proceedings of the 2nd International Conference on Case Based Reasoning , pp. 359-370
    • Hanney, K.1    Keane, M.T.2
  • 11
    • 0035329732 scopus 로고    scopus 로고
    • Competence models and the maintenance problem
    • B. Smyth and E. McKenna. Competence models and the maintenance problem. Computational Intelligence, 17(2):235-249, 2001.
    • (2001) Computational Intelligence , vol.17 , Issue.2 , pp. 235-249
    • Smyth, B.1    McKenna, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.