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Volumn 3721 LNAI, Issue , 2005, Pages 667-674

STochFS: A framework for combining feature selection outcomes through a stochastic process

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; FEATURE EXTRACTION; SET THEORY;

EID: 33646433017     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11564126_71     Document Type: Conference Paper
Times cited : (13)

References (14)
  • 2
    • 0000751098 scopus 로고    scopus 로고
    • Using learning to facilitate the evolution of features for recognizing visual concepts
    • J. Bala, K. DeJong, J. Huang, H. Vafaie, and H. Wechsler. Using learning to facilitate the evolution of features for recognizing visual concepts. Evolutionary Computation, 4(3):297-311, 1996.
    • (1996) Evolutionary Computation , vol.4 , Issue.3 , pp. 297-311
    • Bala, J.1    DeJong, K.2    Huang, J.3    Vafaie, H.4    Wechsler, H.5
  • 4
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman. Bagging predictors. Machine Learning, 24(2):123-140, 1996.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 7
    • 85065703189 scopus 로고    scopus 로고
    • Correlation-based feature selection for discrete and numeric class machine learning
    • Stanford University, CA, Morgan Kaufmann Publishers
    • M.A. Hall. Correlation-based feature selection for discrete and numeric class machine learning. In Proceedings of the Seventeenth International Conference on Machine Learning. Stanford University, CA, Morgan Kaufmann Publishers, 2000.
    • (2000) Proceedings of the Seventeenth International Conference on Machine Learning
    • Hall, M.A.1
  • 13
    • 0036532821 scopus 로고    scopus 로고
    • A hybrid filter/wrapper approach of feature selection using information theory
    • M. Sebban and R. Nock. A hybrid filter/wrapper approach of feature selection using information theory. Pattern Recognition, (35):835 846, 2002.
    • (2002) Pattern Recognition , Issue.35 , pp. 835-846
    • Sebban, M.1    Nock, R.2
  • 14
    • 0003076895 scopus 로고    scopus 로고
    • Feature selection for high-dimensional genomic microarray data
    • San Francisco, CA. Morgan Kaufmann
    • E.P. Xing, M.I. Jordan, and R.M. Karp. Feature selection for high-dimensional genomic microarray data. In 18th International Conference on Machine Learning, pages 601-608, San Francisco, CA, 2001. Morgan Kaufmann.
    • (2001) 18th International Conference on Machine Learning , pp. 601-608
    • Xing, E.P.1    Jordan, M.I.2    Karp, R.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.