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Volumn , Issue , 2006, Pages 552-559

Bayesian multicategory support vector machines

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; DATA AUGMENTATION; EMPIRICAL RESULTS; HIERARCHICAL BAYESIAN; MAP ESTIMATION; MULTI-CLASS CLASSIFICATION; MULTICATEGORY; MULTICLASS SUPPORT VECTOR MACHINES; PROBABILISTIC INTERPRETATION;

EID: 77954562908     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (22)
  • 1
    • 84916537550 scopus 로고
    • Bayesian analysis of binary and polychotomous response data
    • Albert, J. H. and S. Chib (1993). Bayesian analysis of binary and polychotomous response data. Journal of the American Statistical Association 88(422), 669-679.
    • (1993) Journal of the American Statistical Association , vol.88 , Issue.422 , pp. 669-679
    • Albert, J.H.1    Chib, S.2
  • 2
    • 24044435942 scopus 로고    scopus 로고
    • Reducing multiclass to binary: A unifying approach for margin classifiers
    • Allwein, E. L., R. E. Schapire, and Y. Singer (2000). Reducing multiclass to binary: A unifying approach for margin classifiers. Journal of Machine Learning Research 1, 113-141. (Pubitemid 33738778)
    • (2001) Journal of Machine Learning Research , vol.1 , Issue.2 , pp. 113-141
    • Allwein, E.L.1    Schapire, R.E.2    Singer, Y.3
  • 7
    • 0010442827 scopus 로고    scopus 로고
    • On the algorithmic implementation of multiclass kernel-based vector machines
    • Crammer, K. and Y. Singer (2001). On the algorithmic implementation of multiclass kernel-based vector machines. Journal of Machine Learning Research 2, 265-292.
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 265-292
    • Crammer, K.1    Singer, Y.2
  • 11
    • 33745841370 scopus 로고    scopus 로고
    • Variational Bayesian multinomial probit regression with Gaussian process priors
    • (to appear)
    • Girolami, M. A. and S. Rogers (to appear). Variational Bayesian multinomial probit regression with Gaussian process priors. Neural Computation.
    • Neural Computation
    • Girolami, M.A.1    Rogers, S.2
  • 12
    • 0036088194 scopus 로고    scopus 로고
    • Combining discriminant models with new multi-class SVMs
    • DOI 10.1007/s100440200015
    • Guermeur, Y. (2002). Combining discriminant models with new multi-class SVMs. Pattern Analysis and Applications 5(2), 168-179. (Pubitemid 40830130)
    • (2002) Pattern Analysis and Applications , vol.5 , Issue.2 , pp. 168-179
    • Guermeur, Y.1
  • 15
    • 2142775432 scopus 로고    scopus 로고
    • Multicategory support vector machines: Theory and application to the classification of microarray data and satellite radiance data
    • Lee, Y., Y. Lin, and G. Wahba (2004). Multicategory support vector machines: Theory and application to the classification of microarray data and satellite radiance data. Journal of the American Statistical Association 99(465), 67-81. (Pubitemid 38545195)
    • (2004) Journal of the American Statistical Association , vol.99 , Issue.465 , pp. 67-81
    • Lee, Y.1    Lin, Y.2    Wahba, G.3
  • 19
    • 0036163572 scopus 로고    scopus 로고
    • Bayesian methods for support vector machines: Evidence and predictive class probabilities
    • Sollich, P. (2001). Bayesian methods for support vector machines: evidence and predictive class probabilities. Machine Learning 46, 21-52.
    • (2001) Machine Learning , vol.46 , pp. 21-52
    • Sollich, P.1
  • 20
    • 84950758368 scopus 로고
    • The calculation of posterior distributions by data augmentation (with discussion)
    • Tanner, M. A. and W. H. Wong (1987). The calculation of posterior distributions by data augmentation (with discussion). Journal of the American Statistical Association 82(398), 528-550.
    • (1987) Journal of the American Statistical Association , vol.82 , Issue.398 , pp. 528-550
    • Tanner, M.A.1    Wong, W.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.