메뉴 건너뛰기




Volumn , Issue , 2010, Pages 673-678

Efficient Spectral Feature Selection with Minimum Redundancy

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE SELECTION;

EID: 85158826352     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (42)

References (25)
  • 1
    • 85167407035 scopus 로고    scopus 로고
    • Redundant feature elimination for multi-class problems
    • Appice, A.; Ceci, M.; and et al. 2004. Redundant feature elimination for multi-class problems. In ICML.
    • (2004) ICML
    • Appice, A.1    Ceci, M.2
  • 4
    • 84960463485 scopus 로고    scopus 로고
    • Minimum redundancy feature selection from microarray gene expression data
    • Ding, C., and Peng, H. 2003. Minimum redundancy feature selection from microarray gene expression data. In CSB'03, 523-529.
    • (2003) CSB'03 , pp. 523-529
    • Ding, C.1    Peng, H.2
  • 5
    • 63649163673 scopus 로고    scopus 로고
    • Relevant and redundant feature analysis with ensemble classification
    • Duangsoithong, R. 2009. Relevant and redundant feature analysis with ensemble classification. In ICAPR'09.
    • (2009) ICAPR'09
    • Duangsoithong, R.1
  • 7
    • 14344259210 scopus 로고    scopus 로고
    • Text categorization with many redundant features: using aggressive feature selection to make svms competitive with c4.5
    • Gabrilovich, E., and et al. 2004. Text categorization with many redundant features: using aggressive feature selection to make svms competitive with c4.5. In ICML'04.
    • (2004) ICML'04
    • Gabrilovich, E.1
  • 8
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • Guyon, I., and Elisseeff, A. 2003. An introduction to variable and feature selection. JMLR 3:1157-1182.
    • (2003) JMLR , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 11
    • 84864039505 scopus 로고    scopus 로고
    • Laplacian score for feature selection
    • He, X.; Cai, D.; and Niyogi, P. 2005. Laplacian score for feature selection. In NIPS.
    • (2005) NIPS
    • He, X.1    Cai, D.2    Niyogi, P.3
  • 14
    • 80053145416 scopus 로고    scopus 로고
    • Multi-task feature learning via efficient l2, 1-norm minimization
    • Liu, J.; Ji, S.; and Ye, J. 2009. Multi-task feature learning via efficient l2, 1-norm minimization. In UAI'09.
    • (2009) UAI'09
    • Liu, J.1    Ji, S.2    Ye, J.3
  • 15
    • 81855220000 scopus 로고    scopus 로고
    • Trace ratio criterion for feature selection
    • Nie, F.; Xiang, S.; Jia, Y.; Zhang, C.; and Yan, S. 2008. Trace ratio criterion for feature selection. In AAAI.
    • (2008) AAAI
    • Nie, F.1    Xiang, S.2    Jia, Y.3    Zhang, C.4    Yan, S.5
  • 17
    • 44649181578 scopus 로고    scopus 로고
    • Bayesian inference and optimal design for the sparse linear model
    • Seeger, M. 2008. Bayesian inference and optimal design for the sparse linear model. JMLR 9:759-813.
    • (2008) JMLR , vol.9 , pp. 759-813
    • Seeger, M.1
  • 18
    • 0141990695 scopus 로고    scopus 로고
    • Theoretical and empirical analysis of Relief and ReliefF
    • Sikonja, M. R., and Kononenko, I. 2003. Theoretical and empirical analysis of Relief and ReliefF. Machine Learning 53:23-69.
    • (2003) Machine Learning , vol.53 , pp. 23-69
    • Sikonja, M. R.1    Kononenko, I.2
  • 19
  • 20
    • 71149101160 scopus 로고    scopus 로고
    • A least squares formulation for a class of generalized eigenvalue problems in machine learning
    • Sun, L.; Ji, S.; and Ye, J. 2009. A least squares formulation for a class of generalized eigenvalue problems in machine learning. In ICML.
    • (2009) ICML
    • Sun, L.1    Ji, S.2    Ye, J.3
  • 21
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers
    • Suykens, J., and Vandewalle, J. 1999. Least squares support vector machine classifiers. Neural Processing Letters 9(3):1370-4621.
    • (1999) Neural Processing Letters , vol.9 , Issue.3 , pp. 1370-4621
    • Suykens, J.1    Vandewalle, J.2
  • 23
    • 84890520049 scopus 로고    scopus 로고
    • Use of the zero norm with linear models and kernel methods
    • Weston, J.; Elisseff, A.; Schoelkopf, B.; and Tipping, M. 2003. Use of the zero norm with linear models and kernel methods. JMLR 3:1439-1461.
    • (2003) JMLR , vol.3 , pp. 1439-1461
    • Weston, J.1    Elisseff, A.2    Schoelkopf, B.3    Tipping, M.4
  • 24
    • 25144492516 scopus 로고    scopus 로고
    • Efficient feature selection via analysis of relevance and redundancy
    • Yu, L., and Liu, H. 2004. Efficient feature selection via analysis of relevance and redundancy. JMLR 5:1205-1224.
    • (2004) JMLR , vol.5 , pp. 1205-1224
    • Yu, L.1    Liu, H.2
  • 25
    • 65149104302 scopus 로고    scopus 로고
    • Spectral feature selection for supervised and unsupervised learning
    • Zhao, Z., and Liu, H. 2007. Spectral feature selection for supervised and unsupervised learning. In ICML.
    • (2007) ICML
    • Zhao, Z.1    Liu, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.