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Volumn 4472 LNCS, Issue , 2007, Pages 251-260

Random feature subset selection for ensemble based classification of data with missing features

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA REDUCTION; PARAMETER ESTIMATION; PROBLEM SOLVING; SAMPLING;

EID: 37249049777     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72523-7_26     Document Type: Conference Paper
Times cited : (8)

References (10)
  • 1
    • 0019394007 scopus 로고
    • A reappraisal of distance-weighted k-nearest neighbor classification for pattern recognition with missing data
    • Morin, R.L., Raeside, D.E.: A reappraisal of distance-weighted k-nearest neighbor classification for pattern recognition with missing data. IEEE Trans. Systems, Man and Cybernetics 11(1981)241-243.
    • (1981) IEEE Trans. Systems, Man and Cybernetics , vol.11 , pp. 241-243
    • Morin, R.L.1    Raeside, D.E.2
  • 2
    • 0002629270 scopus 로고    scopus 로고
    • Maximum-likelihood from incomplete data via the EM algorithm (with discussion), Jour, of the Royal Statistical
    • Society
    • Dempster, A., Laird N., Rubin, D.R.: Maximum-likelihood from incomplete data via the EM algorithm (with discussion), Jour, of the Royal Statistical. Society, Series B, (1997) 1-38.
    • (1997) Series B , pp. 1-38
    • Dempster, A.1    Laird, N.2    Rubin, D.R.3
  • 3
    • 0036732448 scopus 로고    scopus 로고
    • Neuro-Fuzzy Approach to Processing Inputs with Missing Values in Pattern Recognition Problems
    • Gabrys, B.: Neuro-Fuzzy Approach to Processing Inputs with Missing Values in Pattern Recognition Problems, International Journal of Approximate Reasoning 30 (2002) 149-179.
    • (2002) International Journal of Approximate Reasoning , vol.30 , pp. 149-179
    • Gabrys, B.1
  • 6
    • 35048859747 scopus 로고    scopus 로고
    • Combining One-Class Classifiers to Classify Missing Data, MCS2004
    • Juszczak P. and Duin, R.P.W: Combining One-Class Classifiers to Classify Missing Data, MCS2004, Lecture Notes in Computer Science 3077 (2004) 92-101.
    • (2004) Lecture Notes in Computer Science , vol.3077 , pp. 92-101
    • Juszczak, P.1    Duin, R.P.W.2
  • 9
    • 0141684717 scopus 로고    scopus 로고
    • An Ensemble of Classifiers Approach for the Missing Feature Problem
    • Krause S., Polikar, R.: An Ensemble of Classifiers Approach for the Missing Feature Problem, Int. Joint Conf. on Neural Networks 1 (2003) 553-556
    • (2003) Int. Joint Conf. on Neural Networks , vol.1 , pp. 553-556
    • Krause, S.1    Polikar, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.