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Volumn 3940 LNCS, Issue , 2006, Pages 198-208

Less biased measurement of feature selection benefits

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL METHODS; COMPUTER SCIENCE; MEASUREMENT THEORY; PARAMETER ESTIMATION; PROBLEM SOLVING; SET THEORY; VIRTUAL REALITY;

EID: 33745816725     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11752790_14     Document Type: Conference Paper
Times cited : (5)

References (13)
  • 7
    • 0000629975 scopus 로고
    • Cross-validatory choice and assessment of statistical predictions
    • M. Stone. Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society, 36(2): 111-133, 1974.
    • (1974) Journal of the Royal Statistical Society , vol.36 , Issue.2 , pp. 111-133
    • Stone, M.1
  • 8
    • 85164392958 scopus 로고
    • A study of cross-validation and bootstrap for accuracy estimation and model selection
    • Montreal, Canada
    • R. Kohavi. A study of cross-validation and bootstrap for accuracy estimation and model selection. In Proc. of the 14th Int. Joint Conf. on Artificial Intelligence (IJCAI-95), pages 1137-1143, Montreal, Canada, 1995.
    • (1995) Proc. of the 14th Int. Joint Conf. on Artificial Intelligence (IJCAI-95) , pp. 1137-1143
    • Kohavi, R.1
  • 9
    • 0015125457 scopus 로고
    • A direct method of nonparametric measurement selection
    • A. W. Whitney. A direct method of nonparametric measurement selection. IEEE Transactions on Computers, 20(9): 1100-1103, 1971.
    • (1971) IEEE Transactions on Computers , vol.20 , Issue.9 , pp. 1100-1103
    • Whitney, A.W.1
  • 12
    • 0033907286 scopus 로고    scopus 로고
    • Multiple comparisons in induction algorithms
    • D. D. Jensen and P. R. Cohen. Multiple comparisons in induction algorithms. Machine Learning, 38(3):309-338, 2000.
    • (2000) Machine Learning , vol.38 , Issue.3 , pp. 309-338
    • Jensen, D.D.1    Cohen, P.R.2
  • 13
    • 84890445089 scopus 로고    scopus 로고
    • Overfitting in making comparisons between variable selection methods
    • J. Reunanen. Overfitting in making comparisons between variable selection methods. Journal of Machine Learning Research, 3:1371 -1382, 2003.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1371-1382
    • Reunanen, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.