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Volumn 2035, Issue , 2001, Pages 222-233

Feature selection for meta-learning

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING;

EID: 84942924001     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-45357-1_26     Document Type: Conference Paper
Times cited : (29)

References (31)
  • 1
    • 0003535936 scopus 로고
    • Wiley Series in Probability and Mathemat- ical Statistics
    • Agresti, A.: Categorical Data Analysis. Wiley Series in Probability and Mathemat- ical Statistics (1990)
    • (1990) Categorical Data Analysis.
    • Agresti, A.1
  • 10
    • 0000153354 scopus 로고    scopus 로고
    • NOEMON: Design, implementation and performance results of an intelligent assistant for classifier selection
    • Kalousis, A., Theoharis, T.: NOEMON: Design, implementation and performance results of an intelligent assistant for classifier selection. Intelligent Data Analysis 3(5) (1999) 319-337
    • (1999) Intelligent Data Analysis , vol.3 , Issue.5 , pp. 319-337
    • Kalousis, A.1    Theoharis, T.2
  • 20
    • 84949994187 scopus 로고    scopus 로고
    • Quinlan, R.: Http://www.rulequest.com/see5-info.html
    • Quinlan, R.1
  • 21
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan, R.: Induction of Decision Trees. Machine Learning 1(1) (1986) 81-106
    • (1986) Machine Learning , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, R.1
  • 23
    • 27144463192 scopus 로고    scopus 로고
    • On comparing classifiers: A critique of current research and methods
    • Salzberg, L.S.: On Comparing Classifiers: A Critique of Current Research and Methods. Data Mining and Knowledge Discovery 1(3) (1997) 317-327
    • (1997) Data Mining and Knowledge Discovery , vol.1 , Issue.3 , pp. 317-327
    • Salzberg, L.S.1
  • 26
    • 0026119038 scopus 로고
    • Symbolic and neural net learning algo- rithms : An experimental approach
    • Shavlik, J.W., Mooney, R.J., Towell, G.: Symbolic and Neural net learning algo- rithms : An experimental approach. Machine Learning 6 (1991) 111-114
    • (1991) Machine Learning , vol.6 , pp. 111-114
    • Shavlik, J.W.1    Mooney, R.J.2    Towell, G.3
  • 29
    • 0001512820 scopus 로고
    • An empirical comparison of patter recognition neural nets and machine learning classification algorithms
    • Weis, S.M., Kapouleas, I.,: An Empirical Comparison of Patter Recognition, Neural Nets, and Machine Learning Classification Algorithms. In: Proceedings of the 11th International Joint Conference on AI (1989) 781-787
    • (1989) Proceedings of the 11th International Joint Conference on AI , pp. 781-787
    • Weis, S.M.1    Kapouleas, I.2
  • 30
    • 84949954232 scopus 로고    scopus 로고
    • University of California, Irvine, Dept. of Information and Computer Sciences
    • Blake, C., Keogh, E., Merz, C.J.: Http://www.ics.uci.edu /mlearn / MLRepos- itory.html. University of California, Irvine, Dept. of Information and Computer Sciences (1998)
    • (1998)
    • Blake, C.1    Keogh, E.2    Merz, C.J.3
  • 31
    • 0000459353 scopus 로고    scopus 로고
    • The lack of a priori distinctions between learning algorithms
    • Wolpert, D,: The Lack of A Priori Distinctions Between Learning Algorithms. Neural Computation (1996) 1341-1390
    • (1996) Neural Computation , pp. 1341-1390
    • Wolpert, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.