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Volumn 227, Issue , 2007, Pages 823-830

Supervised feature selection via dependence estimation

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; OPTIMIZATION; PROBLEM SOLVING; REAL TIME SYSTEMS; SUPERVISED LEARNING;

EID: 34547964410     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273600     Document Type: Conference Paper
Times cited : (332)

References (21)
  • 3
    • 0347606838 scopus 로고    scopus 로고
    • On optimizing kernel alignment
    • Tech. rep, UC Davis Department of Statistics
    • Cristianini, N., Kandola, J., Elisseeff, A., & Shawe-Taylor, J. (2003). On optimizing kernel alignment. Tech. rep., UC Davis Department of Statistics.
    • (2003)
    • Cristianini, N.1    Kandola, J.2    Elisseeff, A.3    Shawe-Taylor, J.4
  • 4
    • 2442671691 scopus 로고    scopus 로고
    • Boosting bit rates in non-invasive EEG singletrial classifications by feature combination and multiclass paradigms
    • Dornhege, G., Blankertz, B., Curio, G., & Müller, K. (2004). Boosting bit rates in non-invasive EEG singletrial classifications by feature combination and multiclass paradigms. IEEE Trans. Biomed. Eng., 51, 993-1002.
    • (2004) IEEE Trans. Biomed. Eng , vol.51 , pp. 993-1002
    • Dornhege, G.1    Blankertz, B.2    Curio, G.3    Müller, K.4
  • 6
    • 4544371135 scopus 로고    scopus 로고
    • Dimensionality reduction for supervised learning with reproducing kernel hilbert spaces
    • Fukumizu, K., Bach, F. R., & Jordan, M. I. (2004). Dimensionality reduction for supervised learning with reproducing kernel hilbert spaces. JMLR, 5, 73-99.
    • (2004) JMLR , vol.5 , pp. 73-99
    • Fukumizu, K.1    Bach, F.R.2    Jordan, M.I.3
  • 7
    • 33646528415 scopus 로고    scopus 로고
    • Measuring statistical dependence with Hilbert-Schmidt norms
    • Gretton, A., Bousquet, O., Smola, A., & Schölkopf, B. (2005). Measuring statistical dependence with Hilbert-Schmidt norms. In ALT, 63-78.
    • (2005) ALT , pp. 63-78
    • Gretton, A.1    Bousquet, O.2    Smola, A.3    Schölkopf, B.4
  • 9
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon, I., Weston, J., Barnhill, S., & Vapnik, V. (2002). Gene selection for cancer classification using support vector machines. Machine Learning, 46, 389-422.
    • (2002) Machine Learning , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 11
    • 0000012317 scopus 로고    scopus 로고
    • Toward optimal feature selection
    • Koller, D., & Sahami, M. (1996). Toward optimal feature selection. In ICML, 284-292.
    • (1996) ICML , pp. 284-292
    • Koller, D.1    Sahami, M.2
  • 12
    • 26844572294 scopus 로고    scopus 로고
    • Spatio-spectral filters for improving the classification of single trial EEC
    • Lemm, S., Blankertz, B., Curio, C., & Mülller, K.-R. (2005). Spatio-spectral filters for improving the classification of single trial EEC IEEE Trans. Biomed. Eng., 52, 1541-1548.
    • (2005) IEEE Trans. Biomed. Eng , vol.52 , pp. 1541-1548
    • Lemm, S.1    Blankertz, B.2    Curio, C.3    Mülller, K.-R.4
  • 13
    • 84898931392 scopus 로고    scopus 로고
    • Entropy and inference, revisited
    • Nemenman, I., Shafee, F., & Bialek, W. (2002). Entropy and inference, revisited. In NIPS, vol. 14.
    • (2002) NIPS , vol.14
    • Nemenman, I.1    Shafee, F.2    Bialek, W.3
  • 14
    • 30044438683 scopus 로고    scopus 로고
    • Combined SVM-based feature selection and classification
    • Neumann, J., Schnörr, C., & Steidl, G. (2005). Combined SVM-based feature selection and classification. Machine Learning, 61, 129-150.
    • (2005) Machine Learning , vol.61 , pp. 129-150
    • Neumann, J.1    Schnörr, C.2    Steidl, G.3
  • 18
    • 0010786475 scopus 로고    scopus 로고
    • On the influence of the kernel on the consistency of svms
    • Steinwart, I. (2002). On the influence of the kernel on the consistency of svms. JMLR, 2, 67-93.
    • (2002) JMLR , vol.2 , pp. 67-93
    • Steinwart, I.1
  • 19
    • 84890520049 scopus 로고    scopus 로고
    • Use of zero-norm with linear models and kernel methods
    • Weston, J., Elisseeff, A., Schölkopf, B., & Tipping, M. (2003). Use of zero-norm with linear models and kernel methods. JMLR, 3, 1439-1461.
    • (2003) JMLR , vol.3 , pp. 1439-1461
    • Weston, J.1    Elisseeff, A.2    Schölkopf, B.3    Tipping, M.4
  • 21
    • 0142233479 scopus 로고    scopus 로고
    • Robust feature selection using distributions of mutual information
    • Zaffalon, M., & Hutter, M. (2002). Robust feature selection using distributions of mutual information. In UAI.
    • (2002) UAI
    • Zaffalon, M.1    Hutter, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.