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Volumn 41, Issue 5, 1998, Pages 488-495

A concept learning method based on a hybrid genetic algorithm

Author keywords

Background theory; Concept learning; Hybrid genetic algorithm

Indexed keywords


EID: 0346366167     PISSN: 10069321     EISSN: None     Source Type: Journal    
DOI: 10.1007/bf02917023     Document Type: Article
Times cited : (2)

References (9)
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  • 2
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    • Quinlan, J.R.1
  • 3
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    • eds. Michalski, R. S. et al., Berlin: Springer-Verlag
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    • (1983) Machine Learning: an Artificial Intelligence Approach , vol.1 , pp. 83-134
    • Michalski, R.S.1
  • 4
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    • eds. Kodratoff, Y., Michalski, R. S., San Mateo: Morgan Kaufmann
    • Falkenhainer, B. C., Michalski, R. S., Integrating quantitative and qualitative discovery in the ABA-CUS system, Machine Leaning: An Artificial Intelligence Approach, Vol. III (eds. Kodratoff, Y., Michalski, R. S.), San Mateo: Morgan Kaufmann, 1990, 153-190.
    • (1990) Machine Leaning: an Artificial Intelligence Approach , vol.3 , pp. 153-190
    • Falkenhainer, B.C.1    Michalski, R.S.2
  • 5
    • 85028805392 scopus 로고
    • Controlled redundancy in incremental rule learning
    • Machine Learning: ECML-93, ed. Brazdil, P. B., Berlin: Springer-Verlag
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    • (1993) Lecture Notes in Artificial Intelligence , vol.667 , pp. 185-195
    • Tosgo, L.1
  • 6
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    • SIA: A supervised inductive algorithm with genetic search for learning attributes based concepts
    • Machine Learning: ECML-93 (ed. Brazdil, P. B.), Berlin: Springer-Verlag
    • Venturini, G., SIA: A supervised inductive algorithm with genetic search for learning attributes based concepts, Machine Learning: ECML-93 (ed. Brazdil, P. B.), Lecture Notes in Artifical Intelligence, Vol. 667, Berlin: Springer-Verlag, 1993, 280-296.
    • (1993) Lecture Notes in Artifical Intelligence , vol.667 , pp. 280-296
    • Venturini, G.1
  • 8
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    • SAMIA: A bottom-up learning method using a simulated anneling algorithm
    • ed. Brazdil, P. B., Vienna, Austria
    • Brezellec, P., Soldano, H., SAMIA: A bottom-up learning method using a simulated anneling algorithm, Machine Learning: ECML-93 (ed. Brazdil, P. B.), Vienna, Austria, 1993, 297-309.
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    • Brezellec, P.1    Soldano, H.2
  • 9
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    • Srinivas, M.1    Patnaik, L.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.