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Volumn 542 LNAI Part F2, Issue , 1991, Pages 368-377

On the unknown attribute values in learning from examples

Author keywords

[No Author keywords available]

Indexed keywords

INTELLIGENT SYSTEMS; LEARNING SYSTEMS; ROUGH SET THEORY;

EID: 80051947439     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-54563-8_100     Document Type: Conference Paper
Times cited : (164)

References (17)
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    • (1987) Int. J. Man-Machine Studies , vol.27 , pp. 23-32
    • Arciszewski, T.1    Mustafa, M.2    Ziarko, W.3
  • 4
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    • The CN2 induction algorithm
    • P. Clark, T. Niblett. The CN2 induction algorithm. Machine Learning 3, 1989, 261-283.
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    • Clark, P.1    Niblett, T.2
  • 5
    • 0002032320 scopus 로고
    • A comparative review of selected methods for learning from examples
    • ed. R. S. Michalski, J. G. Carbonell, T. M. Mitchell, Morgan Kauffman
    • T.G. Dietterich, R. S. Michalski. A comparative review of selected methods for learning from examples. In Machine Learning. An Artificial Intelligence Approach, ed. R. S. Michalski, J. G. Carbonell, T. M. Mitchell, Morgan Kauffman, 1983, 41-81.
    • (1983) Machine Learning. an Artificial Intelligence Approach , pp. 41-81
    • Dietterich, T.G.1    Michalski, R.S.2
  • 6
    • 0017480535 scopus 로고
    • A recursive partitioning decision rule for nonparametric classification
    • J.H. Friedman. A recursive partitioning decision rule for nonparametric classification. IEEE Transactions on Computers, 1977, 40d 408.
    • (1977) IEEE Transactions on Computers , vol.40
    • Friedman, J.H.1
  • 9
  • 10
    • 85013572365 scopus 로고
    • Noise and knowledge acquisition
    • M. V. Manago, Y. Kodratoff. Noise and knowledge acquisition. Proc. IJCA1 1987, 348-354.
    • (1987) Proc. IJCA1 , pp. 348-354
    • Manago, M.V.1    Kodratoff, Y.2
  • 11
    • 0003046840 scopus 로고
    • A theory and methodology of inductive learning
    • ed. R. S. Michalski, J. G. Carbonell, T. M. Mitchell, Morgan Kauffman
    • R. S. Michalski. A theory and methodology of inductive learning. In Machine Learning. An Artificial Intelligence Approach, ed. R. S. Michalski, J. G. Carbonell, T. M. Mitchell, Morgan Kauffman, 1983, 83-134.
    • (1983) Machine Learning. an Artificial Intelligence Approach , pp. 83-134
    • Michalski, R.S.1
  • 13
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    • Induction of decision trees
    • J. R. Quinlan. Induction of decision trees. Machine Learning 1, 1986, 81-106.
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.R.1
  • 16
    • 0001286553 scopus 로고
    • Probabilistic decision trees
    • In , . An Artificial Intelligence Approach, vol HI, ed. Y. Kodratoff and R. S. Michalski
    • J. R. Quinlan. Probabilistic decision trees. In Machine Learning. An Artificial Intelligence Approach, vol HI, ed. Y. Kodratoff and R. S. Michalski, 1990, 140-152.
    • (1990) Machine Learning , pp. 140-152
    • Quinlan, J.R.1
  • 17
    • 0024092478 scopus 로고
    • An expert system for conceptual schema design: A machine learning approach
    • R. Yasdi and W. Ziarko. An expert system for conceptual schema design: A machine learning approach. Int. J. Man-Machine Studies 29, 1988, 351-376.
    • (1988) Int. J. Man-Machine Studies , vol.29 , pp. 351-376
    • Yasdi, R.1    Ziarko, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.