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Volumn 7, Issue , 2006, Pages 1531-1565

Large scale multiple kernel learning

Author keywords

Column generation; Large scale optimization; Multiple kernel learning; Semi infinite linear programming; String kernels; Support vector machines; Support vector regression

Indexed keywords

COMPUTATION THEORY; CONSTRAINT THEORY; LARGE SCALE SYSTEMS; MATHEMATICAL MODELS; OPTIMIZATION; REGRESSION ANALYSIS;

EID: 33745776113     PISSN: 15337928     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (1182)

References (30)
  • 5
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • O. Chapelle, V. Vapnik, O. Bousquet, and S. Mukherjee. Choosing multiple parameters for support vector machines. Machine Learning, 46(1-3):131-159, 2002.
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3    Mukherjee, S.4
  • 6
    • 34249753618 scopus 로고
    • Support-vector networks
    • C. Cortes and V.N. Vapnik. Support-vector networks. Machine Learning, 20(3):273-297, 1995.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.N.2
  • 7
    • 33747894200 scopus 로고    scopus 로고
    • The relationship between precision-recall and roc curves
    • University of Wisconsin Madison, January
    • J. Davis and M. Goadrich. The relationship between precision-recall and roc curves. Technical report #1551, University of Wisconsin Madison, January 2006.
    • (2006) Technical Report , vol.1551
    • Davis, J.1    Goadrich, M.2
  • 8
    • 0345438685 scopus 로고    scopus 로고
    • Roc graphs: Notes and practical considerations for data mining researchers
    • HP Laboratories, Palo Alto, CA, USA, January
    • T. Fawcett. Roc graphs: Notes and practical considerations for data mining researchers. Technical report hpl-2003-4, HP Laboratories, Palo Alto, CA, USA, January 2003.
    • (2003) Technical Report , vol.HPL-2003-4
    • Fawcett, T.1
  • 10
    • 84899001870 scopus 로고    scopus 로고
    • Adaptive scaling for feature selection in SVMs
    • S. Thrun S. Becker and K. Obermayer, editors, Cambridge, MA, MIT Press
    • Y. Grandvalet and S. Canu. Adaptive scaling for feature selection in SVMs. In S. Thrun S. Becker and K. Obermayer, editors, Advances in Neural Information Processing Systems 15, pages 553-560, Cambridge, MA, 2003. MIT Press.
    • (2003) Advances in Neural Information Processing Systems , vol.15 , pp. 553-560
    • Grandvalet, Y.1    Canu, S.2
  • 11
    • 0027657329 scopus 로고
    • Semi-infinite programming: Theory, methods and applications
    • R. Hettich and K. O. Kortanek. Semi-infinite programming: Theory, methods and applications. SIAMReview, 3:380-429, 1993.
    • (1993) SIAMReview , vol.3 , pp. 380-429
    • Hettich, R.1    Kortanek, K.O.2
  • 12
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • C. Nédellec and C. Rouveirol, editors, Lecture Notes in Computer Science, Berlin / Heidelberg, Springer-Verlag
    • T. Joachims. Text categorization with support vector machines: Learning with many relevant features. In C. Nédellec and C. Rouveirol, editors, ECML '98: Proceedings of the 10th European Conference on Machine Learning, Lecture Notes in Computer Science, pages 137-142, Berlin / Heidelberg, 1998. Springer-Verlag.
    • (1998) ECML '98: Proceedings of the 10th European Conference on Machine Learning , pp. 137-142
    • Joachims, T.1
  • 13
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • B. Schölkopf, C.J.C. Burges, and A.J. Smola, editors, Cambridge, MA, USA, MIT Press
    • T. Joachims. Making large-scale SVM learning practical. In B. Schölkopf, C.J.C. Burges, and A.J. Smola, editors, Advances in Kernel Methods - Support Vector Learning, pages 169-184, Cambridge, MA, USA, 1999. MIT Press.
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 169-184
    • Joachims, T.1
  • 15
    • 0036358995 scopus 로고    scopus 로고
    • The spectrum kernel: A string kernel for SVM protein classification
    • R. B. Altman, A. K. Dunker, L. Hunter, K. Lauderdale, and T. E. Klein, editors, Kaua'i, Hawaii
    • C. Leslie, E. Eskin, and W.S. Noble. The spectrum kernel: A string kernel for SVM protein classification. In R. B. Altman, A. K. Dunker, L. Hunter, K. Lauderdale, and T. E. Klein, editors, Proceedings of the Pacific Symposium on Biocomputing, pages 564-575, Kaua'i, Hawaii, 2002.
    • (2002) Proceedings of the Pacific Symposium on Biocomputing , pp. 564-575
    • Leslie, C.1    Eskin, E.2    Noble, W.S.3
  • 16
    • 31844443024 scopus 로고    scopus 로고
    • Inexact matching string kernels for protein classification
    • MIT Press series on Computational Molecular Biology, MIT Press
    • C. Leslie, R. Kuang, and E. Eskin. Inexact matching string kernels for protein classification. In Kernel Methods in Computational Biology, MIT Press series on Computational Molecular Biology, pages 95-112. MIT Press, 2004.
    • (2004) Kernel Methods in Computational Biology , pp. 95-112
    • Leslie, C.1    Kuang, R.2    Eskin, E.3
  • 17
    • 35248862907 scopus 로고    scopus 로고
    • An introduction to boosting and leveraging
    • S. Mendelson and A. Smola, editors, LNCS, Springer
    • R. Meir and G. Rätsch. An introduction to boosting and leveraging. In S. Mendelson and A. Smola, editors, Proc. of the first Machine Learning Summer School in Canberra, LNCS, pages 119-184. Springer, 2003.
    • (2003) Proc. of the First Machine Learning Summer School in Canberra , pp. 119-184
    • Meir, R.1    Rätsch, G.2
  • 18
    • 0018079655 scopus 로고
    • Basic principles of ROC analysis
    • October
    • C.E. Metz. Basic principles of ROC analysis. Seminars in Nuclear Medicine, VIII(4), October 1978.
    • (1978) Seminars in Nuclear Medicine , vol.8 , Issue.4
    • Metz, C.E.1
  • 20
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • B. Schölkopf, C.J.C. Burges, and A.J. Smola, editors, Cambridge, MA, USA, MIT Press
    • J. Platt. Fast training of support vector machines using sequential minimal optimization. In B. Schölkopf, C.J.C. Burges, and A.J. Smola, editors, Advances in Kernel Methods - Support Vector Learning, pages 185-208, Cambridge, MA, USA, 1999. MIT Press.
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 185-208
    • Platt, J.1
  • 24
    • 0036643047 scopus 로고    scopus 로고
    • Sparse regression ensembles in infinite and finite hypothesis spaces
    • G. Rätsch, A. Demiriz, and K. Bennett. Sparse regression ensembles in infinite and finite hypothesis spaces. Machine Learning, 48(1-3): 193-221, 2002.
    • (2002) Machine Learning , vol.48 , Issue.1-3 , pp. 193-221
    • Rätsch, G.1    Demiriz, A.2    Bennett, K.3
  • 25
    • 33748531692 scopus 로고    scopus 로고
    • Special issue on new methods for model selection and model combination
    • Special Issue on New Methods for Model Selection and Model Combination. Also NeuroCOLT2 Technical Report NC-TR-2000-085.
    • NeuroCOLT2 Technical Report , vol.NC-TR-2000-085
  • 26
    • 29144512262 scopus 로고    scopus 로고
    • RASE: Recognition of alternatively spliced exons in C. elegans
    • G. Rätsch, S. Sonnenburg, and B. Schölkopf. RASE: Recognition of alternatively spliced exons in C. elegans. Bioinformatics, 21:i369-i377, 2005.
    • (2005) Bioinformatics , vol.21
    • Rätsch, G.1    Sonnenburg, S.2    Schölkopf, B.3
  • 28
    • 26444467746 scopus 로고    scopus 로고
    • Learning interpretable SVMs for biological sequence classification
    • S. Miyano, J. P. Mesirov, S. Kasif, S. Istrail, P. A. Pevzner, and M. Waterman, editors, Springer-Verlag Berlin Heidelberg
    • S. Sonnenburg, G. Rätsch, and C. Schäfer. Learning interpretable SVMs for biological sequence classification. In S. Miyano, J. P. Mesirov, S. Kasif, S. Istrail, P. A. Pevzner, and M. Waterman, editors, Research in Computational Molecular Biology, 9th Annual International Conference, RECOMB 2005, volume 3500, pages 389-407. Springer-Verlag Berlin Heidelberg, 2005a.
    • (2005) Research in Computational Molecular Biology, 9th Annual International Conference, RECOMB 2005 , vol.3500 , pp. 389-407
    • Sonnenburg, S.1    Rätsch, G.2    Schäfer, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.