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Volumn 45, Issue , 2007, Pages 242-249

Feature selection for high-dimensional data - A pearson redundancy based filter

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EID: 61349133540     PISSN: 16153871     EISSN: 18600794     Source Type: Book Series    
DOI: 10.1007/978-3-540-75175-5_30     Document Type: Article
Times cited : (110)

References (12)
  • 1
    • 61349116337 scopus 로고    scopus 로고
    • W. Duch, Filter Methods. In: Feature extraction, foundations and applications. Eds: I. Guyon, S. Gunn, M. Nikravesh, L. Zadeh, Studies in Fuzziness and Soft Computing, Physica-Verlag, Springer, pp. 89-118, 2006.
    • W. Duch, Filter Methods. In: Feature extraction, foundations and applications. Eds: I. Guyon, S. Gunn, M. Nikravesh, L. Zadeh, Studies in Fuzziness and Soft Computing, Physica-Verlag, Springer, pp. 89-118, 2006.
  • 3
    • 61349100309 scopus 로고    scopus 로고
    • J. Biesiada, W. Duch, Feature Selection for High-Dimensional Data: A Kolmogorov-Smirnov Correlation-Based Filter Solution. Advances in Soft Computing, Computer Recognition Systems (CORES 2005), pp. 95-105, 2005.
    • J. Biesiada, W. Duch, Feature Selection for High-Dimensional Data: A Kolmogorov-Smirnov Correlation-Based Filter Solution. Advances in Soft Computing, Computer Recognition Systems (CORES 2005), pp. 95-105, 2005.
  • 6
    • 1942451938 scopus 로고    scopus 로고
    • Feature selection for high-dimensional data: A fast correlation-based filter solution
    • Washington, D.C, pp, Morgan Kaufmann, CA
    • L. Yu and H. Liu. Feature selection for high-dimensional data: A fast correlation-based filter solution. In 12th Int. Conf. on Machine Learning (ICML-03), Washington, D.C., pp. 856-863, Morgan Kaufmann, CA 2003.
    • (2003) 12th Int. Conf. on Machine Learning (ICML-03) , pp. 856-863
    • Yu, L.1    Liu, H.2
  • 7
    • 0242302657 scopus 로고    scopus 로고
    • Consistency-based search in feature selection
    • M. Dash and H. Liu. Consistency-based search in feature selection. Artificial Intelligence, 151:155-176, 2003.
    • (2003) Artificial Intelligence , vol.151 , pp. 155-176
    • Dash, M.1    Liu, H.2
  • 8
    • 0141990695 scopus 로고    scopus 로고
    • Theoretical and empirical analysis of relieff and rrelieff
    • M. Robnik-Sikonja and I. Kononenko. Theoretical and empirical analysis of relieff and rrelieff. Machine Learning, 53:23-69, 2003.
    • (2003) Machine Learning , vol.53 , pp. 23-69
    • Robnik-Sikonja, M.1    Kononenko, I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.