-
1
-
-
84916537550
-
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
-
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
-
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
-
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
-
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
-
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
-
16
-
-
16244388597
-
Bayesian classification of tumours by using gene expression data
-
DOI 10.1111/j.1467-9868.2005.00498.x
-
Mallick, B. K., D. Ghosh, and M. Ghosh (2005). Bayesian classification of tumours by using gene expression data. Journal of the Royal Statistical Society Series B 67, 219-234. (Pubitemid 40465872)
-
(2005)
Journal of the Royal Statistical Society. Series B: Statistical Methodology
, vol.67
, Issue.2
, pp. 219-234
-
-
Mallick, B.K.1
Ghosh, D.2
Ghosh, M.3
-
19
-
-
0036163572
-
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
-
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
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