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Volumn 2475, Issue , 2002, Pages 239-246

Concept learning with approximation: Rough version spaces

Author keywords

Approximation; Concept Learning; Rough Sets; Version Spaces

Indexed keywords

APPROXIMATION ALGORITHMS; COMPUTATION THEORY;

EID: 84942884458     PISSN: 03029743     EISSN: 16113349     Source Type: Journal    
DOI: 10.1007/3-540-45813-1_31     Document Type: Article
Times cited : (14)

References (10)
  • 2
    • 44949274684 scopus 로고
    • The description identification problem
    • Mellish, C.: The description identification problem. Artificial Intelligence 52 (1991) 151-167
    • (1991) Artificial Intelligence , vol.52 , pp. 151-167
    • Mellish, C.1
  • 3
    • 0024082469 scopus 로고
    • Quantifying inductive bias: AI learning algorithms and valiant’s learning framework
    • Haussler, D.: Quantifying inductive bias: AI learning algorithms and valiant’s learning framework. Artificial Intelligence 36 (1988) 177-221
    • (1988) Artificial Intelligence , vol.36 , pp. 177-221
    • Haussler, D.1
  • 5
    • 0031344349 scopus 로고    scopus 로고
    • Version spaces without boundary sets
    • Hirsh, H., Mishra, N., Pitt, L.: Version spaces without boundary sets. In: AAAI/IAAI.(1997) 491-496
    • (1997) AAAI/IAAI , pp. 491-496
    • Hirsh, H.1    Mishra, N.2    Pitt, L.3
  • 7
    • 0005365017 scopus 로고    scopus 로고
    • Delaying the choice of bias: A disjunctive version space approach
    • Sebag, M.: Delaying the choice of bias: A disjunctive version space approach. In: International Conference on Machine Learning.(1996) 444-452
    • (1996) International Conference on Machine Learning , pp. 444-452
    • Sebag, M.1
  • 9
    • 84942881210 scopus 로고    scopus 로고
    • Constructive and algebraic approaches for generalized rough set models
    • Yao, Y.Y.: Constructive and algebraic approaches for generalized rough set models. (In: Bulletin of International Rough Set Society)
    • Bulletin of International Rough Set Society
    • Yao, Y.Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.