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Volumn , Issue , 2009, Pages 1240-1248

Toward provably correct feature selection in arbitrary domains

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE SELECTION;

EID: 77956496569     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (22)

References (18)
  • 1
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • Isabelle Guyon and André Elisseeff. An introduction to variable and feature selection. Journal of Machine Learning Research, 3:1157-1182, 2003.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 3
    • 0017535866 scopus 로고
    • A branch and bound algorithm for feature subset selection
    • P. M. Narendra and K. Fukunaga. A branch and bound algorithm for feature subset selection. IEEE Transactions on Computers, C-26(9):917-922, 1977.
    • (1977) IEEE Transactions on Computers , vol.C-26 , Issue.9 , pp. 917-922
    • Narendra, P.M.1    Fukunaga, K.2
  • 6
    • 0013326060 scopus 로고    scopus 로고
    • Feature selection for classification
    • M. Dash and H. Liu. Feature selection for classification. Intelligent Data Analysis, 1(3): 131-156, 1997.
    • (1997) Intelligent Data Analysis , vol.1 , Issue.3 , pp. 131-156
    • Dash, M.1    Liu, H.2
  • 8
    • 0031334221 scopus 로고    scopus 로고
    • Selection of relevant features and examples in machine learning
    • Avrim Blum and Pat Langley. Selection of relevant features and examples in machine learning. Artificial Intelligence, 97(1-2):245-271, 1997.
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 245-271
    • Blum, A.1    Langley, P.2
  • 9
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • R. Kohavi and G. H. John. Wrappers for feature subset selection. Artificial Intelligence, 97 (1-2):273-324, 1997.
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 13
    • 33747163541 scopus 로고    scopus 로고
    • High-dimensional graphs and variable selection with the lasso
    • N. Meinshausen and P. Bühlmann. High-dimensional graphs and variable selection with the Lasso. Annals of Statistics, 34:1436-1462, 2006.
    • (2006) Annals of Statistics , vol.34 , pp. 1436-1462
    • Meinshausen, N.1    Bühlmann, P.2
  • 17
    • 0032202014 scopus 로고    scopus 로고
    • Efficient noise-tolerant learning from statistical queries
    • M. Kearns. Efficient noise-tolerant learning from statistical queries. J. ACM, 45(6):983-1006, 1998.
    • (1998) J. ACM , vol.45 , Issue.6 , pp. 983-1006
    • Kearns, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.