메뉴 건너뛰기




Volumn , Issue , 2011, Pages 665-672

Support vector machines as probabilistic models

Author keywords

[No Author keywords available]

Indexed keywords

MAXIMUM LIKELIHOOD ESTIMATE; PROBABILISTIC MODELS; REPARAMETRIZATION;

EID: 80053455830     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (41)

References (12)
  • 1
    • 34247596518 scopus 로고    scopus 로고
    • Sparseness vs estimating conditional probabilities: Some asymptotic results
    • Bartlett, P. L. and Tewari, A. Sparseness vs estimating conditional probabilities: Some asymptotic results. Journal of Machine Learning Research, 8:775-790, 2007. (Pubitemid 46677047)
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 775-790
    • Bartlett, P.L.1    Tewari, A.2
  • 2
    • 0001626339 scopus 로고
    • A classification EM algorithm for clustering and two stochastic versions
    • Celeux, G. and Covaert, G. A classification EM algorithm for clustering and two stochastic versions. Computational Statistics & Data Analysis, 14(3), 1992.
    • (1992) Computational Statistics & Data Analysis , vol.14 , Issue.3
    • Celeux, G.1    Covaert, G.2
  • 4
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • Schölkopf, B., Burges, C. J. C., and Smola, A. J. (eds.), MIT Press, Cambridge, MA
    • Joachims, T. Making large-scale SVM learning practical. In Schölkopf, B., Burges, C. J. C., and Smola, A. J. (eds.), Advances in Kernel Methods - Support Vector Learning, pp. 169-184. MIT Press, Cambridge, MA, 1999.
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 169-184
    • Joachims, T.1
  • 5
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • A. Smola et al. (ed.), MIT Press, Cambridge, MA
    • Platt, J. C. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In A. Smola et al. (ed.), Advances in Large Margin Classifiers. MIT Press, Cambridge, MA, 2000.
    • (2000) Advances in Large Margin Classifiers
    • Platt, J.C.1
  • 8
    • 0001340183 scopus 로고
    • Clustering methods based on likelihood ratio criteria
    • Scott, A.J. and Symons, M.J. Clustering methods based on likelihood ratio criteria. Biometrics, 27: 387-389, 1971.
    • (1971) Biometrics , vol.27 , pp. 387-389
    • Scott, A.J.1    Symons, M.J.2
  • 9
    • 0036163572 scopus 로고    scopus 로고
    • Bayesian methods for support vector machines: Evidence and predictive class probabilities
    • DOI 10.1023/A:1012489924661
    • Sollich, P. Bayesian methods for support vector machines: Evidence and predictive class probabilities. Machine learning, 46(1):21-52, 2002. (Pubitemid 34129962)
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 21-52
    • Sollich, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.