-
1
-
-
33749245798
-
Convex neural networks
-
Y. Weiss, B. Schölkopf and J. Platt Eds, Cambridge, MA: MIT Press
-
Bengio, Y., Roux, N. L., Vincent, P., Delalleau, O., & Marcotte, P. (2006). Convex neural networks. In Y. Weiss, B. Schölkopf and J. Platt (Eds.), Advances in neural information processing systems 18, 123-130. Cambridge, MA: MIT Press.
-
(2006)
Advances in neural information processing systems 18
, pp. 123-130
-
-
Bengio, Y.1
Roux, N.L.2
Vincent, P.3
Delalleau, O.4
Marcotte, P.5
-
2
-
-
84898958346
-
Semi-supervised support vector machines
-
M. S. Kearns, S. A. Solla and D. A. Cohn Eds, Cambridge, MA: MIT Press
-
Bennett, K., & Demiriz, A. (1998). Semi-supervised support vector machines. In M. S. Kearns, S. A. Solla and D. A. Cohn (Eds.), Advances in neural information processing systems 12, 368-374. Cambridge, MA: MIT Press.
-
(1998)
Advances in neural information processing systems 12
, pp. 368-374
-
-
Bennett, K.1
Demiriz, A.2
-
3
-
-
84898975526
-
Convex methods for transduction
-
S. Thrun, L. Saul and B. Schölkopf Eds, Cambridge, MA: MIT Press
-
Bie, T. D., & Cristianini, N. (2004). Convex methods for transduction. In S. Thrun, L. Saul and B. Schölkopf (Eds.), Advances in neural information processing systems 16. Cambridge, MA: MIT Press.
-
(2004)
Advances in neural information processing systems 16
-
-
Bie, T.D.1
Cristianini, N.2
-
6
-
-
0003336572
-
A probabilistic theory of pattern recognition
-
of, New York: Springer
-
Devroye, L., Györfi, L., & Lugosi, G. (1996). A probabilistic theory of pattern recognition, vol. 31 of Applications of mathematics. New York: Springer.
-
(1996)
Applications of mathematics
, vol.31
-
-
Devroye, L.1
Györfi, L.2
Lugosi, G.3
-
8
-
-
0036454664
-
Semi-supervised support vector machines for unlabeled data classification
-
Boston: Kluwer Academic Publishers
-
Fung, G., & Mangasarian, O. (2001). Semi-supervised support vector machines for unlabeled data classification. In Optimisation methods and software, 1-14. Boston: Kluwer Academic Publishers.
-
(2001)
Optimisation methods and software
, pp. 1-14
-
-
Fung, G.1
Mangasarian, O.2
-
11
-
-
5544322647
-
-
Doctoral dissertation, INSA, Rouen
-
Le Thi, H. A. (1994). Analyse numérique des algorithmes de l'optimisation d.c. approches locales et globale, codes et simulations numériques en grande dimension, applications. Doctoral dissertation, INSA, Rouen.
-
(1994)
Analyse numérique des algorithmes de l'optimisation d.c. approches locales et globale, codes et simulations numériques en grande dimension, applications
-
-
Le Thi, H.A.1
-
12
-
-
34249873596
-
Efficient backprop
-
G. Orr and K.-R. Müller Eds, Springer
-
LeCun, Y., Bottou, L., Orr, G. B., & Müller, K.-R. (1998). Efficient backprop. In G. Orr and K.-R. Müller (Eds.), Neural networks: Tricks of the trade, 9-50. Springer.
-
(1998)
Neural networks: Tricks of the trade
, pp. 9-50
-
-
LeCun, Y.1
Bottou, L.2
Orr, G.B.3
Müller, K.-R.4
-
13
-
-
84876811202
-
Rcv1: A new benchmark collection for text categorization research
-
Lewis, D. D., Yang, Y., Rose, T., & Li, F. (2004). Rcv1: A new benchmark collection for text categorization research. Journal of Machine Learning Research, 5, 361-397.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 361-397
-
-
Lewis, D.D.1
Yang, Y.2
Rose, T.3
Li, F.4
-
14
-
-
15944365213
-
Multicategory ψ-learning and support vector machine: Computational tools
-
Liu, Y., Shen, X., & Doss, H. (2005). Multicategory ψ-learning and support vector machine: Computational tools. Journal of Computational & Graphical Statistics, 14, 219-236.
-
(2005)
Journal of Computational & Graphical Statistics
, vol.14
, pp. 219-236
-
-
Liu, Y.1
Shen, X.2
Doss, H.3
-
15
-
-
0033870982
-
Improved generalization through explicit optimization of margins
-
Mason, L., Bartlett, P. L., & Baxter, J. (2000). Improved generalization through explicit optimization of margins. Machine Learning, 38, 243-255.
-
(2000)
Machine Learning
, vol.38
, pp. 243-255
-
-
Mason, L.1
Bartlett, P.L.2
Baxter, J.3
-
16
-
-
0344089097
-
Empirical risk minimization for support vector classifiers
-
Pérez-Cruz, F., Navia-Vázquez, A., Figueiras-Vidal, A. R., & Artés-Rodríguez, A. (2002). Empirical risk minimization for support vector classifiers. IEEE Transactions on Neural Networks, 14, 296-303.
-
(2002)
IEEE Transactions on Neural Networks
, vol.14
, pp. 296-303
-
-
Pérez-Cruz, F.1
Navia-Vázquez, A.2
Figueiras-Vidal, A.R.3
Artés-Rodríguez, A.4
-
17
-
-
0003120218
-
Fast training of support vector machines using sequential minimal optimization
-
B. Schölkopf, C. Burges and A. Smola Eds, The MIT Press
-
Platt, J. C. (1999). Fast training of support vector machines using sequential minimal optimization. In B. Schölkopf, C. Burges and A. Smola (Eds.), Advances in kernel methods. The MIT Press.
-
(1999)
Advances in kernel methods
-
-
Platt, J.C.1
-
19
-
-
0242679446
-
On (psi)-learning
-
Shen, X., Tseng, G. C., Zhang, X., & Wong, W. H. (2003). On (psi)-learning. Journal of the American Statistical Association, 98, 724-734.
-
(2003)
Journal of the American Statistical Association
, vol.98
, pp. 724-734
-
-
Shen, X.1
Tseng, G.C.2
Zhang, X.3
Wong, W.H.4
-
22
-
-
84898950233
-
Fast rates to bayes for kernel machines
-
L. K. Saul, Y. Weiss and L. Bottou Eds, Cambridge, MA: MIT Press
-
Steinwart, I., & Scovel, C. (2005). Fast rates to bayes for kernel machines. In L. K. Saul, Y. Weiss and L. Bottou (Eds.), Advances in neural information processing systems 17, 1345-1352. Cambridge, MA: MIT Press.
-
(2005)
Advances in neural information processing systems 17
, pp. 1345-1352
-
-
Steinwart, I.1
Scovel, C.2
-
24
-
-
84898944155
-
Maximum margin clustering
-
L. K. Saul, Y. Weiss and L. Bottou Eds, Cambridge, MA: MIT Press
-
Xu, L., Neufeld, J., Larson, B., & Schuurmans, D. (2005). Maximum margin clustering. In L. K. Saul, Y. Weiss and L. Bottou (Eds.), Advances in neural information processing systems 17, 1537-1544. Cambridge, MA: MIT Press.
-
(2005)
Advances in neural information processing systems 17
, pp. 1537-1544
-
-
Xu, L.1
Neufeld, J.2
Larson, B.3
Schuurmans, D.4
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