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Volumn , Issue , 2000, Pages 603-609

Bayesian model selection for Support Vector machines' Gaussian processes and other kernel classifiers

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; GAUSSIAN NOISE (ELECTRONIC); SUPPORT VECTOR MACHINES;

EID: 84898947199     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (93)

References (16)
  • 1
    • 84898931951 scopus 로고    scopus 로고
    • Ensemble learning for multi-layer networks
    • MIT Press
    • David Barber and Christopher Bishop. Ensemble learning for multi-layer networks. In Advances in NIPS' number 10' pages 395-401. MIT Press' 1997.
    • (1997) Advances in NIPS , Issue.10 , pp. 395-401
    • Barber, D.1    Bishop, C.2
  • 4
    • 0007727813 scopus 로고    scopus 로고
    • Maximum entropy discrimination
    • MIT Press
    • Tommi Jaakkola' Marina Meila' and Tony Jebara. Maximum entropy discrimination. In Advances in NIPS' number 13. MIT Press' 1999.
    • (1999) Advances in NIPS , Issue.13
    • Jaakkola, T.1    Meila, M.2    Jebara, T.3
  • 5
    • 0002853450 scopus 로고    scopus 로고
    • Exploiting generative models in discriminative classifiers
    • Tommi S. Jaakkola and David Haussler. Exploiting generative models in discriminative classifiers. In Advances in NIPS' number 11' 1998.
    • (1998) Advances in NIPS , Issue.11
    • Jaakkola, T.S.1    Haussler, D.2
  • 7
    • 0004220749 scopus 로고    scopus 로고
    • Monte carlo implementation of gaussian process models for bayesian classification and regression
    • Department of Statistics' University of Toronto' January
    • Radford M. Neal. Monte Carlo implementation of Gaussian process models for Bayesian classification and regression. Technical Report 9702' Department of Statistics' University of Toronto' January 1997.
    • (1997) Technical Report 9702
    • Neal, R.M.1
  • 8
    • 0002755771 scopus 로고    scopus 로고
    • GP classification and SVM: Mean field results and leave-one-out estimator
    • MIT Press
    • Manfred Opper and Ole Winther. GP classification and SVM: Mean field results and leave-one-out estimator. In Advances in Large Margin Classifiers. MIT Press' 1999.
    • (1999) Advances in Large Margin Classifiers.
    • Opper, M.1    Winther, O.2
  • 11
    • 0000738512 scopus 로고    scopus 로고
    • Probabilistic methods for support vector machines
    • MIT Press
    • Peter Sollich. Probabilistic methods for Support Vector machines. In Advances in NIPS' number 13. MIT Press' 1999.
    • (1999) Advances in NIPS , Issue.13
    • Sollich, P.1
  • 14
    • 0013065520 scopus 로고    scopus 로고
    • Support Vector machines' reproducing kernel Hilbert spaces and the randomized GACV
    • University of Wisconsin
    • Grace Wahba. Support Vector machines' reproducing kernel Hilbert spaces and the randomized GACV. Technical Report 984' University of Wisconsin' 1997.
    • (1997) Technical Report 984
    • Wahba, G.1
  • 15
    • 0003017575 scopus 로고    scopus 로고
    • Prediction with Gaussian processes: Prom linear regression to linear prediction and beyond
    • In M. I. Jordan' editor Kluwer
    • Christopher K. I. Williams. Prediction with Gaussian processes: Prom linear regression to linear prediction and beyond. In M. I. Jordan' editor' Learning in Graphical Models. Kluwer' 1997
    • (1997) Learning in Graphical Models
    • Williams, C.K.I.1
  • 16
    • 0032289422 scopus 로고    scopus 로고
    • Bayesian classification with Gaussian processes
    • Christopher K.I. Williams and David Barber. Bayesian classification with Gaussian processes. IEEE Trans. PAMI' 20(12):1342-1351' 1998.
    • (1998) IEEE Trans. PAMI , vol.20 , Issue.12 , pp. 1342-1351
    • Williams, C.K.I.1    Barber, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.