-
2
-
-
34547984406
-
Learning convex combinations of continuously parameterized basic kernels
-
Argyriou, Andreas, Micchelli, Charles, and Pontil, Massimiliano. Learning convex combinations of continuously parameterized basic kernels. In COLT, 2005.
-
(2005)
COLT
-
-
Argyriou, A.1
Micchelli, C.2
Pontil, M.3
-
3
-
-
33749254646
-
A DC-programming algorithm for kernel selection
-
Argyriou, Andreas, Hauser, Raphael, Micchelli, Charles, and Pontil, Massimiliano. A DC-programming algorithm for kernel selection. In ICML, 2006.
-
(2006)
ICML
-
-
Argyriou, A.1
Hauser, R.2
Micchelli, C.3
Pontil, M.4
-
4
-
-
84858766876
-
Exploring large feature spaces with hierarchical multiple kernel learning
-
Bach, F. Exploring large feature spaces with hierarchical multiple kernel learning. In NIPS 2009, 2008.
-
(2008)
NIPS 2009
-
-
Bach, F.1
-
5
-
-
0038453192
-
Rademacher and Gaussian complexities: Risk bounds and structural results
-
Bartlett, Peter L. and Mendelson, Shahar. Rademacher and Gaussian complexities: Risk bounds and structural results. Journal of Machine Learning Research, 3:2002, 2002.
-
(2002)
Journal of Machine Learning Research
, vol.3
, pp. 2002
-
-
Bartlett, P.L.1
Mendelson, S.2
-
6
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
Boser, Bernhard, Guyon, Isabelle, and Vapnik, Vladimir. A training algorithm for optimal margin classifiers. In COLT, 1992.
-
(1992)
COLT
-
-
Boser, B.1
Guyon, I.2
Vapnik, V.3
-
7
-
-
84874094866
-
On the complexity of learning the kernel matrix
-
Bousquet, Olivier and Herrmann, Daniel J. L. On the complexity of learning the kernel matrix. In NIPS, 2002.
-
(2002)
NIPS
-
-
Bousquet, O.1
Herrmann, D.J.L.2
-
8
-
-
34249753618
-
Support-vector networks
-
Cortes, Corinna and Vapnik, Vladimir. Support-Vector Networks. Machine Learning, 20(3), 1995.
-
(1995)
Machine Learning
, vol.20
, Issue.3
-
-
Cortes, C.1
Vapnik, V.2
-
10
-
-
84858743760
-
Learning non-linear combinations of kernels
-
MIT Press
-
Cortes, Corinna, Mohri, Mehryar, and Rostamizadeh, Afshin. Learning non-linear combinations of kernels. In NIPS 2009. MIT Press, 2009b.
-
(2009)
NIPS 2009
-
-
Cortes, C.1
Mohri, M.2
Rostamizadeh, A.3
-
12
-
-
0029342607
-
Lower bounds in pattern recognition and learning
-
Devroye, Luc and Lugosi, Gábor. Lower bounds in pattern recognition and learning. Pattern Recognition, 28(7), 1995.
-
(1995)
Pattern Recognition
, vol.28
, Issue.7
-
-
Devroye, L.1
Lugosi, G.2
-
13
-
-
84855609314
-
On the complexity of linear prediction: Risk bounds, margin bounds, and regularization
-
Kakade, Sham M., Sridharan, Karthik, and Tewari, Ambuj. On the complexity of linear prediction: Risk bounds, margin bounds, and regularization. In NIPS, 2009.
-
(2009)
NIPS
-
-
Kakade, S.M.1
Sridharan, K.2
Tewari, A.3
-
15
-
-
0036104545
-
Empirical margin distributions and bounding the generalization error of combined classifiers
-
Koltchinskii, V. and Panchenko, D. Empirical margin distributions and bounding the generalization error of combined classifiers. Annals of Statistics, 30, 2002.
-
(2002)
Annals of Statistics
, pp. 30
-
-
Koltchinskii, V.1
Panchenko, D.2
-
16
-
-
70350112716
-
Sparse recovery in large ensembles of kernel machines on-line learning and bandits
-
Koltchinskii, Vladimir and Yuan, Ming. Sparse recovery in large ensembles of kernel machines on-line learning and bandits. In COLT, 2008.
-
(2008)
COLT
-
-
Koltchinskii, V.1
Yuan, M.2
-
17
-
-
8844278523
-
Learning the kernel matrix with semidefinite programming
-
Lanckriet, Gert, Cristianini, Nello, Bartlett, Peter, Ghaoui, Laurent El, and Jordan, Michael. Learning the kernel matrix with semidefinite programming. JMLR, 5, 2004.
-
(2004)
JMLR
, pp. 5
-
-
Lanckriet, G.1
Cristianini, N.2
Bartlett, P.3
Ghaoui, L.E.4
Jordan, M.5
-
18
-
-
33749248521
-
Non-stationary kernel combination
-
Lewis, Darrin P., Jebara, Tony, and Noble, William Stafford. Non-stationary kernel combination. In ICML, 2006.
-
(2006)
ICML
-
-
Lewis, D.P.1
Jebara, T.2
Noble, W.S.3
-
19
-
-
23244434257
-
Learning the kernel function via regularization
-
Micchelli, Charles and Pontil, Massimiliano. Learning the kernel function via regularization. JMLR, 6, 2005.
-
(2005)
JMLR
, pp. 6
-
-
Micchelli, C.1
Pontil, M.2
-
20
-
-
21844468979
-
Learning the kernel with hyperkernels
-
Ong, Cheng Soon, Smola, Alex, and Williamson, Robert. Learning the kernel with hyperkernels. JMLR, 6, 2005.
-
(2005)
JMLR
, pp. 6
-
-
Ong, C.S.1
Smola, A.2
Williamson, R.3
-
23
-
-
77956508938
-
Learning bounds for support vector machines with learned kernels
-
Srebro, Nathan and Ben-David, Shai. Learning bounds for support vector machines with learned kernels. In COLT, 2006.
-
(2006)
COLT
-
-
Srebro, N.1
Ben-David, S.2
-
25
-
-
77956500822
-
Generalization bounds for learning the kernel problem
-
Ying, Yiming and Campbell, Colin. Generalization bounds for learning the kernel problem. In COLT, 2009.
-
(2009)
COLT
-
-
Ying, Y.1
Campbell, C.2
-
26
-
-
77956540615
-
Multiclass multiple kernel learning
-
Zien, Alexander and Ong, Cheng Soon. Multiclass multiple kernel learning. In ICML 2007, 2007.
-
(2007)
ICML 2007
-
-
Zien, A.1
Ong, C.S.2
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