-
2
-
-
33645505792
-
Convexity classification, and risk bounds
-
Peter L. Bartlett, Michael I. Jordan, and Jon D. McAuliffe. Convexity, classification, and risk bounds. Journal of the American Statistical Association, 101(473):138-156, 2006.
-
(2006)
Journal of the American Statistical Association
, vol.101
, Issue.473
, pp. 138-156
-
-
Bartlett, P.L.1
Jordan, M.I.2
McAuliffe, J.D.3
-
4
-
-
33750711340
-
Consistency of multiclass empirical risk minimization methods based in convex loss
-
D. Chen and T. Sun. Consistency of multiclass empirical risk minimization methods based in convex loss. Journal of machine learning, X, 2006.
-
(2006)
Journal of Machine Learning
, vol.10
-
-
Chen, D.1
Sun, T.2
-
5
-
-
0010442827
-
On the algorithmic implementation of multiclass kernel-based vector machines
-
Crammer.K and Singer.Y. On the algorithmic implementation of multiclass kernel-based vector machines. JMLR, 2001.
-
(2001)
JMLR
-
-
Crammer, K.1
Singer, Y.2
-
6
-
-
0000406788
-
Solving multiclass learning problems via errorcorrecting output codes
-
Thomas G. Dietterich and Ghulum Bakiri. Solving multiclass learning problems via errorcorrecting output codes. Journal of Artificial Intelligence Research, 2:263-286, 1995.
-
(1995)
Journal of Artificial Intelligence Research
, vol.2
, pp. 263-286
-
-
Dietterich, T.G.1
Bakiri, G.2
-
7
-
-
36949010307
-
Vc theory of large margin multi-category classiers
-
Yann Guermeur. Vc theory of large margin multi-category classiers. Journal of Machine Learning Research, 8:2551-2594, 2007.
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 2551-2594
-
-
Guermeur, Y.1
-
8
-
-
38349108477
-
A framework for kernel-based multi-category classification
-
December
-
Simon I. Hill and Arnaud Doucet. A framework for kernel-based multi-category classification. J. Artif. Int. Res., 30(1):525-564, December 2007.
-
(2007)
J. Artif. Int. Res.
, vol.30
, Issue.1
, pp. 525-564
-
-
Hill, S.I.1
Doucet, A.2
-
9
-
-
0000406385
-
A correspondence between bayesian estimation of stochastic processes and smoothing by splines
-
G. Kimeldorf and G. Wahba. A correspondence between bayesian estimation of stochastic processes and smoothing by splines. Ann. Math. Stat., 41:495-502, 1970.
-
(1970)
Ann. Math. Stat.
, vol.41
, pp. 495-502
-
-
Kimeldorf, G.1
Wahba, G.2
-
10
-
-
2142775432
-
Multicategory support vector machines: Theory and application to the classification of microarray data and satellite radiance data
-
Lee.Y, L.Yin, and Wahba.G. Multicategory support vector machines: Theory and application to the classification of microarray data and satellite radiance data. Journal of the American Statistical Association, 2004.
-
(2004)
Journal of the American Statistical Association
-
-
Lee, Y.1
Yin, L.2
Wahba, G.3
-
12
-
-
14544299611
-
On learning vector-valued functions
-
C.A. Micchelli and M. Pontil. On learning vector-valued functions. Neural Computation, 17:177-204, 2005.
-
(2005)
Neural Computation
, vol.17
, pp. 177-204
-
-
Micchelli, C.A.1
Pontil, M.2
-
14
-
-
78649418936
-
Composite binary losses
-
11, September
-
M.D. Reid and R.C. Williamson. Composite binary losses. JMLR, 11, September 2010.
-
(2010)
JMLR
-
-
Reid, M.D.1
Williamson, R.C.2
-
16
-
-
85162492586
-
Multiclass boosting: Theory and algorithms
-
Saberian.M and Vasconcelos .N. Multiclass boosting: Theory and algorithms. In NIPS 2011, 2011.
-
(2011)
NIPS 2011
-
-
Saberian, M.1
Vasconcelos, N.2
-
17
-
-
34547964973
-
Pegasos: Primal estimated subgradient solver for svm
-
New York, NY, USA. ACM
-
Shai Shalev-Shwartz, Yoram Singer, and Nathan Srebro. Pegasos: Primal estimated subgradient solver for svm. In Proceedings of the 24th ICML, ICML '07, pages 807-814, New York, NY, USA, 2007. ACM.
-
(2007)
Proceedings of the 24th ICML, ICML '07
, pp. 807-814
-
-
Shalev-Shwartz, S.1
Singer, Y.2
Srebro, N.3
-
19
-
-
56349108115
-
A moment bound for multicategory support vector machines
-
Van de Geer.S Tarigan.B. A moment bound for multicategory support vector machines. JMLR 9, 2171-2185, 2008.
-
(2008)
JMLR
, vol.9
, pp. 2171-2185
-
-
Van De Geer, S.1
Tarigan, B.2
-
21
-
-
24944537843
-
Large margin methods for structured and interdependent output variables
-
I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. Altun. Large margin methods for structured and interdependent output variables. JMLR, 6(2):1453-1484, 2005.
-
(2005)
JMLR
, vol.6
, Issue.2
, pp. 1453-1484
-
-
Tsochantaridis, I.1
Joachims, T.2
Hofmann, T.3
Altun, Y.4
-
22
-
-
3142725508
-
Optimal aggregation of classifiers in statistical learning
-
Alexandre B. Tsybakov. Optimal aggregation of classifiers in statistical learning. Annals of Statistics, 32:135-166, 2004.
-
(2004)
Annals of Statistics
, vol.32
, pp. 135-166
-
-
Tsybakov, A.B.1
-
24
-
-
84877733092
-
-
volume 59 of CBMS-NSF Regional Conference Series in Applied Mathematics. SIAM, Philadelphia, PA
-
G. Wahba. Spline models for observational data, volume 59 of CBMS-NSF Regional Conference Series in Applied Mathematics. SIAM, Philadelphia, PA, 1990.
-
(1990)
Spline Models for Observational Data
-
-
Wahba, G.1
-
26
-
-
80052029012
-
Multicategory vertex discriminant analysis for highdimensional data
-
Tong Tong Wu and Kenneth Lange. Multicategory vertex discriminant analysis for highdimensional data. Ann. Appl. Stat., 4(4):1698-1721, 2010.
-
(2010)
Ann. Appl. Stat.
, vol.4
, Issue.4
, pp. 1698-1721
-
-
Wu, T.T.1
Lange, K.2
-
27
-
-
34547435898
-
On early stopping in gradient descent learning
-
Y. Yao, L. Rosasco, and A. Caponnetto. On early stopping in gradient descent learning. Constructive Approximation, 26(2):289-315, 2007.
-
(2007)
Constructive Approximation
, vol.26
, Issue.2
, pp. 289-315
-
-
Yao, Y.1
Rosasco, L.2
Caponnetto, A.3
-
28
-
-
26944483874
-
Statistical analysis of some multi-category large margin classification methods
-
T. Zhang. Statistical analysis of some multi-category large margin classification methods. Journal of Machine Learning Research, 5:1225-1251, 2004.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 1225-1251
-
-
Zhang, T.1
-
29
-
-
4644257995
-
Statistical behavior and consistency of classification methods based on convex risk minimization
-
Tong Zhang. Statistical behavior and consistency of classification methods based on convex risk minimization. The Annals of Statistics, Vol. 32, No. 1, 56134, 2004.
-
(2004)
The Annals of Statistics
, vol.32
, Issue.1
, pp. 56134
-
-
Zhang, T.1
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