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Volumn 1, Issue , 1999, Pages 228-233

Dynamic refinement of feature weights using quantitative introspective learning

Author keywords

[No Author keywords available]

Indexed keywords

CASEBASED REASONINGS (CBR); CBR SYSTEMS; DYNAMIC REFINEMENT; EMPIRICAL EXPERIMENTS; FEATURE WEIGHT; INTROSPECTIVE LEARNING; LEARNING AND EVOLUTION; QUALITATIVE METHOD;

EID: 84880653423     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (29)

References (12)
  • 3
    • 2042423340 scopus 로고
    • Foundations of fuzzy neural computation
    • Fred Aminzadeh and Mohaamad Jamshidi, editors, PTR Prentice Hall, Englewood Cliffs, New Jersey, USA
    • M.M. Gupta and H. Ding. Foundations of fuzzy neural computation. In Fred Aminzadeh and Mohaamad Jamshidi, editors, Soft Computing, Fuzzy Logic, Neural Networks, and Distributed Artificial Intelligence, pages 165-200. PTR Prentice Hall, Englewood Cliffs, New Jersey, USA, 1994.
    • (1994) Soft Computing, Fuzzy Logic, Neural Networks, and Distributed Artificial Intelligence , pp. 165-200
    • Gupta, M.M.1    Ding, H.2
  • 5
    • 0004735833 scopus 로고
    • Goal-driven learning: Fundamental issues (a symposium report)
    • D.B. Leake and A. Ram. Goal-driven learning: Fundamental issues (a symposium report). AI Magazine, 14(4):67-72, 1993.
    • (1993) AI Magazine , vol.14 , Issue.4 , pp. 67-72
    • Leake, D.B.1    Ram, A.2
  • 8
    • 0004734554 scopus 로고
    • Introspective reasoning using meta-explanations for multistrategy learning
    • R. Michalski and G. Tecuci, editors, Morgan Kaufmann, San Mateo, USA
    • A. Ram and M. Cox. Introspective reasoning using meta-explanations for multistrategy learning. In R. Michalski and G. Tecuci, editors, Machine Learning: A Multistategy Approach. Morgan Kaufmann, San Mateo, USA, 1993.
    • (1993) Machine Learning: A Multistategy Approach
    • Ram, A.1    Cox, M.2
  • 10
    • 0031073477 scopus 로고    scopus 로고
    • A review and comparative evaluation of feature weighting methods for lazy learning algorithms
    • D. Wettschereck, D.W. Aha, and T. Mohri. A review and comparative evaluation of feature weighting methods for lazy learning algorithms. Artificial Intelligence Review, 11:273 314, 1997.
    • (1997) Artificial Intelligence Review , vol.11 , pp. 273-314
    • Wettschereck, D.1    Aha, D.W.2    Mohri, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.