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Volumn , Issue PART 3, 2013, Pages 1934-1942

Infinitesimal annealing for training semi-supervised support vector machines

Author keywords

[No Author keywords available]

Indexed keywords

CONVEX OPTIMIZATION; LEARNING ALGORITHMS; SUPPORT VECTOR MACHINES;

EID: 84897490866     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (26)
  • 1
    • 84971957489 scopus 로고
    • Continuation and path following
    • Allgower, E. L. and George, K. Continuation and path following. Acta Numerica, 2:1-63, 1993.
    • (1993) Acta Numerica , vol.2 , pp. 1-63
    • Allgower, E.L.1    George, K.2
  • 2
    • 0011323861 scopus 로고    scopus 로고
    • An algorithm for the solution of the parametric quadratic programming problem
    • Best, M. J. An algorithm for the solution of the parametric quadratic programming problem. Applied Mathemetics and Parallel Computing, pp. 57-76, 1996.
    • (1996) Applied Mathemetics and Parallel Computing , pp. 57-76
    • Best, M.J.1
  • 5
    • 34247849152 scopus 로고    scopus 로고
    • Training a support vector machine in the primal
    • Chapelle, O. Training a support vector machine in the primal. Neural Computation, 19(5):1155-1178, 2007.
    • (2007) Neural Computation , vol.19 , Issue.5 , pp. 1155-1178
    • Chapelle, O.1
  • 9
    • 41549144249 scopus 로고    scopus 로고
    • Optimization techniques for semi-supervised support vector machines
    • Feb.
    • Chapelle, O., Sindhwani, V., and Keerthi, S. S. Optimization techniques for semi-supervised support vector machines. J. Mach. Learning Res., 9:202-233, Feb. 2008.
    • (2008) J. Mach. Learning Res. , vol.9 , pp. 202-233
    • Chapelle, O.1    Sindhwani, V.2    Keerthi, S.S.3
  • 12
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes, C. and Vapnik, V. Support-vector networks. Machine Learning, 20:273-297, 1995.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 18
    • 84865206455 scopus 로고    scopus 로고
    • Multi-parametric solution-path algorithm for instance-weighted support vector machines
    • Karasuyama, M., Harada, N., Sugiyama, M., and Takeuchi, I. Multi-parametric solution-path algorithm for instance-weighted support vector machines. Machine Learning, 88(3):297-330, 2012.
    • (2012) Machine Learning , vol.88 , Issue.3 , pp. 297-330
    • Karasuyama, M.1    Harada, N.2    Sugiyama, M.3    Takeuchi, I.4
  • 19
    • 26444479778 scopus 로고
    • Optimization by simulated annealing
    • Kirkpatrick, S. and Gelatt, C. D. Optimization by simulated annealing. Science, 220:671-680, 1983.
    • (1983) Science , vol.220 , pp. 671-680
    • Kirkpatrick, S.1    Gelatt, C.D.2
  • 23
    • 67650329813 scopus 로고    scopus 로고
    • Non-parametric conditional density estimation using piecewise-linear solution path of kernel quantile regression
    • Takeuchi, I., Nomura, K., and Kanamori, T. Non-parametric conditional density estimation using piecewise-linear solution path of kernel quantile regression. Neural Computation, 21(2):539-559, 2009.
    • (2009) Neural Computation , vol.21 , Issue.2 , pp. 539-559
    • Takeuchi, I.1    Nomura, K.2    Kanamori, T.3
  • 25
    • 33749253228 scopus 로고
    • On structural risk minimization or overall risk in a problem of pattern recognition
    • Vapnik, V. N. and Sterin, A. On structural risk minimization or overall risk in a problem of pattern recognition. Automation and Remote Control, 1977.
    • (1977) Automation and Remote Control
    • Vapnik, V.N.1    Sterin, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.