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Volumn 2, Issue , 2012, Pages 1167-1174

An efficient approach to sparse linear discriminant analysis

Author keywords

[No Author keywords available]

Indexed keywords

GENE EXPRESSION DATA; LINEAR DISCRIMINANT ANALYSIS; LOW-DIMENSIONAL REPRESENTATION; MULTI-CLASS; PREDICTION PERFORMANCE;

EID: 84867118962     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (19)

References (18)
  • 2
    • 33745156863 scopus 로고    scopus 로고
    • Some theory for Fisher's linear discriminant function, 'naive Bayes', and some alternatives when there are many more variables than observations
    • Bickel, P. J. and Levina, E. Some theory for Fisher's linear discriminant function, 'naive Bayes', and some alternatives when there are many more variables than observations. Bernoulli, 10(6):989-1010, 2004.
    • (2004) Bernoulli , vol.10 , Issue.6 , pp. 989-1010
    • Bickel, P.J.1    Levina, E.2
  • 3
    • 0012812628 scopus 로고
    • Technical Report 40, Department of Statistics, University of California, Berkeley, California
    • Breiman, L. and Ihaka, R. Nonlinear discriminant analysis via scaling and ace. Technical Report 40, Department of Statistics, University of California, Berkeley, California, 1984.
    • (1984) Nonlinear Discriminant Analysis Via Scaling and Ace
    • Breiman, L.1    Ihaka, R.2
  • 6
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • Fisher, R. A. The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7:179-188, 1936.
    • (1936) Annals of Eugenics , vol.7 , pp. 179-188
    • Fisher, R.A.1
  • 7
    • 0004123838 scopus 로고    scopus 로고
    • Least absolute shrinkage is equivalent to quadratic penalization
    • Niklasson, L., Bodén, M., and Ziemske, T. (eds.), ICANN'98, Springer
    • Grandvalet, Y. Least absolute shrinkage is equivalent to quadratic penalization. In Niklasson, L., Bodén, M., and Ziemske, T. (eds.), ICANN'98, volume 1 of Perspectives in Neural Computing, pp. 201-206. Springer, 1998.
    • (1998) Perspectives in Neural Computing , vol.1 , pp. 201-206
    • Grandvalet, Y.1
  • 8
    • 0041879258 scopus 로고    scopus 로고
    • Outcomes of the equivalence of adaptive ridge with least absolute shrinkage
    • Kearns, M. S., Solla, S. A., and Cohn, D. A. (eds.), MIT Press
    • Grandvalet, Y. and Canu, S. Outcomes of the equivalence of adaptive ridge with least absolute shrinkage. In Kearns, M. S., Solla, S. A., and Cohn, D. A. (eds.), Advances in Neural Information Processing Systems 11 (NIPS 1998), pp. 445-451. MIT Press, 1999.
    • (1999) Advances in Neural Information Processing Systems 11 (NIPS 1998) , pp. 445-451
    • Grandvalet, Y.1    Canu, S.2
  • 13
    • 54149118733 scopus 로고    scopus 로고
    • Sparse optimal scoring for multiclass cancer diagnosis and biomarker detection using microarray data
    • Leng, C. Sparse optimal scoring for multiclass cancer diagnosis and biomarker detection using microarray data. Computational Biology and Chemistry, 32(6): 417-425, 2008.
    • (2008) Computational Biology and Chemistry , vol.32 , Issue.6 , pp. 417-425
    • Leng, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.