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Volumn 227, Issue , 2007, Pages 983-990

Hybrid huberized support vector machines for microarray classification

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; AUTOMATION; GENES; MICROARRAYS;

EID: 34547983091     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273620     Document Type: Conference Paper
Times cited : (47)

References (17)
  • 2
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges, C. (1998). A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2, 121-167.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 121-167
    • Burges, C.1
  • 5
    • 0033569406 scopus 로고    scopus 로고
    • Golub, T., Slonim, D., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J., Coller, H., Loh, M., Downing, J., Caligiuri, M., Bloomfield, C., & Lander, E. (1999). Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science, 286, 531-536.
    • Golub, T., Slonim, D., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J., Coller, H., Loh, M., Downing, J., Caligiuri, M., Bloomfield, C., & Lander, E. (1999). Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science, 286, 531-536.
  • 6
    • 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
  • 7
    • 84942484786 scopus 로고
    • Ridge regression: Biased estimation for nonorthogonal problems
    • Hoerl, A., & Kennard, R. (1970). Ridge regression: biased estimation for nonorthogonal problems. Technometircs, 12, 55-67.
    • (1970) Technometircs , vol.12 , pp. 55-67
    • Hoerl, A.1    Kennard, R.2
  • 8
    • 0003798641 scopus 로고    scopus 로고
    • Support vector machine classification of microarray data
    • Artificial Intelligence Laboratory, Massachusetts Institute of Technology
    • Mukherjee, S., Tamayo, P., Slonim, D., Verri, A., Golub, T., Mesirov, J., & Poggio, T. (2000). Support vector machine classification of microarray data (Technical Report). Artificial Intelligence Laboratory, Massachusetts Institute of Technology.
    • (2000) Technical Report
    • Mukherjee, S.1    Tamayo, P.2    Slonim, D.3    Verri, A.4    Golub, T.5    Mesirov, J.6    Poggio, T.7
  • 10
    • 34547989067 scopus 로고    scopus 로고
    • Piecewise linear regularized solution paths
    • In press
    • Rosset, S., & Zhu, J. (2006). Piecewise linear regularized solution paths. The Annals of Statistics. In press.
    • (2006) The Annals of Statistics
    • Rosset, S.1    Zhu, J.2
  • 11
    • 0003798627 scopus 로고    scopus 로고
    • Scholkopf, B, Burges, C, & Smola, A, Eds, Cambridge: MIT Press
    • Scholkopf, B., Burges, C., & Smola, A. (Eds.). (1999). Advances in kernel methods: Support vector learning. Cambridge: MIT Press.
    • (1999) Advances in kernel methods: Support vector learning
  • 12
    • 0345327592 scopus 로고    scopus 로고
    • A simple and efficient algorithm for gene selection using sparse logistic regression
    • Shevade, S., & Keerthi, S. (2003). A simple and efficient algorithm for gene selection using sparse logistic regression. Bioinformatics, 19, 2246-2253.
    • (2003) Bioinformatics , vol.19 , pp. 2246-2253
    • Shevade, S.1    Keerthi, S.2
  • 17
    • 16244401458 scopus 로고    scopus 로고
    • Regualization and variable selection via the elastic net
    • Zou, H., & Hastie, T. (2005). Regualization and variable selection via the elastic net. Journal of the Royal Statistical Society B, 67, 301-320.
    • (2005) Journal of the Royal Statistical Society B , vol.67 , pp. 301-320
    • Zou, H.1    Hastie, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.