-
1
-
-
14344252374
-
Multiple kernel learning, conic duality, and the SMO algorithm
-
F. R. Bach, G. R. G. Lanckriet, and M. I. Jordan. Multiple kernel learning, conic duality, and the SMO algorithm. In ICML, 2004
-
(2004)
ICML
-
-
Bach, F.R.1
Lanckriet, G.R.G.2
Jordan, M.I.3
-
2
-
-
33750729556
-
Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
-
M. Belkin, P. Niyogi, V. Sindhwani, and P. Bartlett. Manifold regularization: A geometric framework for learning from examples. JMLR, 7:2399-2434, 2006 (Pubitemid 44708005)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 2399-2434
-
-
Belkin, M.1
Niyogi, P.2
Sindhwani, V.3
-
4
-
-
32844455952
-
Cluster kernels for semi-supervised learning
-
O. Chapelle, J. Weston, and B. Schölkopf. Cluster kernels for semi-supervised learning. In NIPS, 2002
-
(2002)
NIPS
-
-
Chapelle, O.1
Weston, J.2
Schölkopf, B.3
-
7
-
-
84858743760
-
Learning non-linear combinations of kernels
-
C. Cortes, M. Mohri, and A. Rostamizadeh. Learning non-linear combinations of kernels. In NIPS, 2009b
-
(2009)
NIPS
-
-
Cortes, C.1
Mohri, M.2
Rostamizadeh, A.3
-
8
-
-
1942515094
-
On kernel target alignment
-
N. Cristianini, J. Kandola, A. Elisseeff, and J. Shawe-Taylor. On kernel target alignment. JMLR, 1, 2002
-
(2002)
JMLR
, vol.1
-
-
Cristianini, N.1
Kandola, J.2
Elisseeff, A.3
Shawe-Taylor, J.4
-
10
-
-
51949117190
-
Learning nonparametric kernel matrices from pairwise constraints
-
S. C. H. Hoi, R. Jin, and M. R. Lyu. Learning nonparametric kernel matrices from pairwise constraints. In ICML, 2007
-
(2007)
ICML
-
-
Hoi, S.C.H.1
Jin, R.2
Lyu, M.R.3
-
11
-
-
84858738634
-
Efficient and accurate lp-norm multiple kernel learning
-
M. Kloft, U. Brefeld, P. Sonnenburg, S. amd Laskov, K.-R. Müller, and Zien A. Efficient and accurate lp-norm multiple kernel learning. In NIPS, 2009
-
(2009)
NIPS
-
-
Kloft, M.1
Brefeld, U.2
Sonnenburg, P.3
Amd Laskov, S.4
Müller, K.-R.5
Zien, A.6
-
12
-
-
0041775676
-
Diffusion kernels on graphs and other discrete structures
-
R. I. Kondor and J. Lafferty. Diffusion kernels on graphs and other discrete structures. In ICML, 2002
-
(2002)
ICML
-
-
Kondor, R.I.1
Lafferty, J.2
-
13
-
-
1942516950
-
Learning with idealized kernels
-
J. T. Kwok and I. W. Tsang. Learning with idealized kernels. In ICML, 2003
-
(2003)
ICML
-
-
Kwok, J.T.1
Tsang, I.W.2
-
14
-
-
8844278523
-
Learning the kernel matrix with semidefinite programming
-
G. R.G. Lanckriet, N. Cristianini, P. Bartlett, L. B. Ghaoui, and M. I. Jordan. Learning the kernel matrix with semidefinite programming. JMLR, 5:27-72, 2004
-
(2004)
JMLR
, vol.5
, pp. 27-72
-
-
Lanckriet, G.R.G.1
Cristianini, N.2
Bartlett, P.3
Ghaoui, L.B.4
Jordan, M.I.5
-
15
-
-
78149492457
-
Spectral kernel learning for semi-supervised classification
-
W. Liu, B. Qian, J. Cui, and J. Liu. Spectral kernel learning for semi-supervised classification. In IJCAI, 2009
-
(2009)
IJCAI
-
-
Liu, W.1
Qian, B.2
Cui, J.3
Liu, J.4
-
16
-
-
77956529614
-
On the algorithmics and applications of a mixed-norm based kernel learning formulation
-
J. S. Nath, G. Dinesh, S. Raman, C. Bhattacharyya, A. Ben-Tal, and K. R. Tamakrishnan. On the algorithmics and applications of a mixed-norm based kernel learning formulation. In NIPS, 2009
-
(2009)
NIPS
-
-
Nath, J.S.1
Dinesh, G.2
Raman, S.3
Bhattacharyya, C.4
Ben-Tal, A.5
Tamakrishnan, K.R.6
-
17
-
-
57249084590
-
Simple MKL
-
A. Rakotomamonjy, F. R. Bach, S Canu, and Y. Grandvalet. SimpleMKL. JMLR, 9:2491-2512, 2008
-
(2008)
JMLR
, vol.9
, pp. 2491-2512
-
-
Rakotomamonjy, A.1
Bach, F.R.2
Canu, S.3
Grandvalet, Y.4
-
18
-
-
14344259597
-
Kernels and regularization on graphs
-
A. J. Smola and R. Kondor. Kernels and regularization on graphs. In COLT, 2003
-
(2003)
COLT
-
-
Smola, A.J.1
Kondor, R.2
-
19
-
-
33745776113
-
Large scale multiple kernel learning
-
S. Sonnenburg, G. Rätsch, C. Schäfer, and B. Schölkopf. Large scale multiple kernel learning. JMLR, 7:1531-1565, 2006 (Pubitemid 44373694)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1531-1565
-
-
Sonnenburg, S.1
Ratsch, G.2
Schafer, C.3
Scholkopf, B.4
-
20
-
-
70450214829
-
Hierarchical spatio-temporal context modeling for action recognition
-
J. Sun, X.Wu, S Yan, T.-S. Cheong, L.-F.and Chua, and J. Li. Hierarchical spatio-temporal context modeling for action recognition. In CVPR, 2009
-
(2009)
CVPR
-
-
Sun, J.1
Wu, X.2
Yan, S.3
Cheong, T.-S.4
Chua, L.-F.5
Li, J.6
-
22
-
-
22944492898
-
Learning with local and global consistency
-
D Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Schölkopf. Learning with local and global consistency. In NIPS, 2003
-
(2003)
NIPS
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.N.3
Weston, J.4
Schölkopf, B.5
-
23
-
-
1942484430
-
Semi-supervised learning using gaussian fields and harmonic functions
-
X. Zhu, Z. Ghahramani, and J. Lafferty. Semi-supervised learning using gaussian fields and harmonic functions. In ICML, 2003
-
(2003)
ICML
-
-
Zhu, X.1
Ghahramani, Z.2
Lafferty, J.3
-
24
-
-
31844439885
-
Nonparametric transforms of graph kernels for semi-supervised learning
-
X. Zhu, J. Kandola, Z. Ghahramani, and J. Lafferty. Nonparametric transforms of graph kernels for semi-supervised learning. In NIPS, 2004
-
(2004)
NIPS
-
-
Zhu, X.1
Kandola, J.2
Ghahramani, Z.3
Lafferty, J.4
-
25
-
-
71149091238
-
SimpleNPKL: Simple non-parameteric kernel learning
-
J. Zhuang, I. W. Tsang, and S. C. H. Hoi. SimpleNPKL: Simple non-parameteric kernel learning. In ICML, 2009
-
(2009)
ICML
-
-
Zhuang, J.1
Tsang, I.W.2
Hoi, S.C.H.3
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