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Volumn 3, Issue , 2004, Pages 2041-2045

Feature subset selection for support vector machines by incremental regularized risk minimization

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE SELECTION ALGORITHMS; GAUSSIAN PROCESSES; STATISTICAL LEARNING THEORY; SUPPORT VECTOR MACHINES (SVM);

EID: 10844295776     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2004.1380930     Document Type: Conference Paper
Times cited : (12)

References (13)
  • 1
    • 0031334221 scopus 로고    scopus 로고
    • Selection of relevant features and examples in machine learning
    • A. L. Blum and P. Langley. Selection of Relevant Features and Examples in Machine Learning. Artificial Intelligence, 97(12):245 - 271, 1997.
    • (1997) Artificial Intelligence , vol.97 , Issue.12 , pp. 245-271
    • Blum, A.L.1    Langley, P.2
  • 2
    • 0002690573 scopus 로고
    • Selecting input variables using mutual information and nonparametric density estimation
    • B. Bonnlander and A. Weigend. Selecting input variables using mutual information and nonparametric density estimation. In Proc. 1994 Int. Symp. on Artificial Neural Networks, pages 42 - 50, 1994.
    • (1994) Proc. 1994 Int. Symp. on Artificial Neural Networks , pp. 42-50
    • Bonnlander, B.1    Weigend, A.2
  • 3
    • 34249753618 scopus 로고
    • Support vector networks
    • C. Cortes and V. Vapnik. Support vector networks. Machine Learning, 20:273 - 297, 1995.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 6
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • I. Guyon, J. Weston, S. Barnhill, and V. Vapnik. Gene Selection for Cancer Classification using Support Vector Machines. Machine Learning, 46:389 - 422, 2002.
    • (2002) Machine Learning , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 7
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • R. Kohavi and G. John. Wrappers for Feature Subset Selection. Artificial Intelligence, 97(12):273 - 324, 1997.
    • (1997) Artificial Intelligence , vol.97 , Issue.12 , pp. 273-324
    • Kohavi, R.1    John, G.2
  • 11
    • 0032112107 scopus 로고    scopus 로고
    • Prediction of human intestinal absorption of drug compounds from molecular structure
    • M. D. Wessel, P. C. Jurs, J. W. Tolan, and S. M. Muskal. Prediction of Human Intestinal Absorption of Drug Compounds from Molecular Structure. J. Chem. Inf. Comput. Sci., 38:726 - 735, 1998.
    • (1998) J. Chem. Inf. Comput. Sci. , vol.38 , pp. 726-735
    • Wessel, M.D.1    Jurs, P.C.2    Tolan, J.W.3    Muskal, S.M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.