메뉴 건너뛰기




Volumn 4993 LNCS, Issue , 2008, Pages 184-191

Efficient feature selection in the presence of outliers and noises

Author keywords

[No Author keywords available]

Indexed keywords

EFFICIENT FEATURE SELECTION (EFS); HEIDELBERG (CO); INFORMATION RETRIEVAL TECHNOLOGY; ITERATIVE OPTIMIZATION; RETRIEVAL (MIR); RUNNING TIME; SPRINGER (CO);

EID: 45449100913     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-68636-1_18     Document Type: Conference Paper
Times cited : (1)

References (10)
  • 2
    • 0013326060 scopus 로고    scopus 로고
    • Feature Selection for Classification
    • Dash, M., Liu, H.: Feature Selection for Classification. Intelligent Data Analysis (IDA) 1, 1131-1156 (1997)
    • (1997) Intelligent Data Analysis (IDA) , vol.1 , pp. 1131-1156
    • Dash, M.1    Liu, H.2
  • 3
    • 33745561205 scopus 로고    scopus 로고
    • An Introduction to Variable and Feature Selection
    • Guyon, I., Elissee, A.: An Introduction to Variable and Feature Selection. JMLR 3, 1157-1182 (2003)
    • (2003) JMLR , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elissee, A.2
  • 4
    • 0242410408 scopus 로고    scopus 로고
    • Benchmarking Attribute Selection Techniques for Discrete Class Data Mining
    • Hall, M.A., Holmes, G.: Benchmarking Attribute Selection Techniques for Discrete Class Data Mining. IEEE Trans. KDE 15(3), 1437-1447 (2003)
    • (2003) IEEE Trans. KDE , vol.15 , Issue.3 , pp. 1437-1447
    • Hall, M.A.1    Holmes, G.2
  • 5
    • 85146422424 scopus 로고
    • A Practical Approach to Feature Selection
    • Kira, K., Rendell, L.A.: A Practical Approach to Feature Selection. In: Proc. of Ninth ICML, pp. 249-256 (1992)
    • (1992) Proc. of Ninth ICML , pp. 249-256
    • Kira, K.1    Rendell, L.A.2
  • 6
    • 2342495357 scopus 로고    scopus 로고
    • Lin, Y.: A Note on Margin-based Loss Functions in Classification. Statistics and Probability Letters 68, 73-82 (2004)
    • Lin, Y.: A Note on Margin-based Loss Functions in Classification. Statistics and Probability Letters 68, 73-82 (2004)
  • 7
    • 0141990695 scopus 로고    scopus 로고
    • Theoretical and Empirical Analysis of ReliefF and RRlief
    • Robnik-Sikonja, M., Kononenko, I.: Theoretical and Empirical Analysis of ReliefF and RRlief. J. Machine Learning 53(1-2), 23-69 (2003)
    • (2003) J. Machine Learning , vol.53 , Issue.1-2 , pp. 23-69
    • Robnik-Sikonja, M.1    Kononenko, I.2
  • 8
    • 0242679446 scopus 로고    scopus 로고
    • Shen, X., Tseng, G., Zhang, X., Wang, W.: On ψ-learning. J. of American Stat. Assoc., 724-734 (1998)
    • Shen, X., Tseng, G., Zhang, X., Wang, W.: On ψ-learning. J. of American Stat. Assoc., 724-734 (1998)
  • 9
    • 34247622378 scopus 로고    scopus 로고
    • Iterative Relief for Feature Weighting: Algorithms, Theories, and Applications
    • Sun, Y.J.: Iterative Relief for Feature Weighting: Algorithms, Theories, and Applications. IEEE Trans. PAMI 29(6), 1035-1051 (2007)
    • (2007) IEEE Trans. PAMI , vol.29 , Issue.6 , pp. 1035-1051
    • Sun, Y.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.