-
1
-
-
0036319960
-
Design issues for cDNA microarray experiments
-
Y. H. Yang and T. Speed. Design issues for cDNA microarray experiments. Nat. Rev. Genet., 3(8):579-588, 2002.
-
(2002)
Nat. Rev. Genet.
, vol.3
, Issue.8
, pp. 579-588
-
-
Yang, Y.H.1
Speed, T.2
-
2
-
-
18544365764
-
Probability product kernels
-
T. Jebara, R. Kondor, A. Howard, K. Bennett, and N. Cesa-bianchi. Probability product kernels. Journal of Machine Learning Research, 5:819-844, 2004.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 819-844
-
-
Jebara, T.1
Kondor, R.2
Howard, A.3
Bennett, K.4
Cesa-Bianchi, N.5
-
3
-
-
0002215069
-
On a measure of divergence between two statistical populations defined by their probability distributions
-
A. Bhattacharyya. On a measure of divergence between two statistical populations defined by their probability distributions. Bull. Calcutta Math Soc., 1943.
-
(1943)
Bull. Calcutta Math Soc.
-
-
Bhattacharyya, A.1
-
7
-
-
66549127714
-
Nonextensive information theoretic kernels on measures
-
André F. T. Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, and Mário A. T. Figueiredo. Nonextensive information theoretic kernels on measures. Journal of Machine Learning Research, 10:935-975, 2009.
-
(2009)
Journal of Machine Learning Research
, vol.10
, pp. 935-975
-
-
Martins André, F.T.1
Smith, N.A.2
Xing, E.P.3
Aguiar Pedro, M.Q.4
Figueiredo Mário, A.T.5
-
9
-
-
38149136576
-
A hilbert space embedding for distributions
-
Springer-Verlag
-
A. Smola, A. Gretton, L. Song, and B. Schölkopf. A hilbert space embedding for distributions. In Proceedings of the 18th International Conference on Algorithmic Learning Theory, pages 13-31. Springer-Verlag, 2007.
-
(2007)
Proceedings of the 18th International Conference on Algorithmic Learning Theory
, pp. 13-31
-
-
Smola, A.1
Gretton, A.2
Song, L.3
Schölkopf, B.4
-
10
-
-
77951953755
-
Hilbert space embeddings and metrics on probability measures
-
B. K. Sriperumbudur, A. Gretton, K. Fukumizu, B. Schölkopf, and Gert R. G. Lanckriet. Hilbert space embeddings and metrics on probability measures. Journal of Machine Learning Research, 99:1517-1561, 2010.
-
(2010)
Journal of Machine Learning Research
, vol.99
, pp. 1517-1561
-
-
Sriperumbudur, B.K.1
Gretton, A.2
Fukumizu, K.3
Schölkopf, B.4
Gert, R.5
Lanckriet, G.6
-
12
-
-
84877726257
-
The representer theorem for hilbert spaces: A necessary and sufficient condition
-
F. Dinuzzo and B. Schölkopf. The representer theorem for Hilbert spaces: a necessary and sufficient condition. In Advances in Neural Information Processing Systems 25, pages 189-196. 2012.
-
(2012)
Advances in Neural Information Processing Systems
, vol.25
, pp. 189-196
-
-
Dinuzzo, F.1
Schölkopf, B.2
-
13
-
-
0010786475
-
On the influence of the kernel on the consistency of support vector machines
-
I. Steinwart. On the influence of the kernel on the consistency of support vector machines. Journal of Machine Learning Research, 2:67-93, 2001.
-
(2001)
Journal of Machine Learning Research
, vol.2
, pp. 67-93
-
-
Steinwart, I.1
-
15
-
-
84877725802
-
Generative and latent mean map kernels
-
abs/1005.0188
-
N. A. Mehta and A. G. Gray. Generative and latent mean map kernels. CoRR, abs/1005.0188, 2010.
-
(2010)
CoRR
-
-
Mehta, N.A.1
Gray, A.G.2
-
16
-
-
85162492909
-
Generalizing from several related classification tasks to a new unlabeled sample
-
G. Blanchard, G. Lee, and C. Scott. Generalizing from several related classification tasks to a new unlabeled sample. In Advances in Neural Information Processing Systems 24, pages 2178-2186. 2011.
-
(2011)
Advances in Neural Information Processing Systems
, vol.24
, pp. 2178-2186
-
-
Blanchard, G.1
Lee, G.2
Scott, C.3
-
21
-
-
77953196456
-
Multiple kernels for object detection
-
A. Vedaldi, V. Gulshan, M. Varma, and A. Zisserman. Multiple kernels for object detection. In Proceedings of the International Conference on Computer Vision, pages 606-613, 2009.
-
(2009)
Proceedings of the International Conference on Computer Vision
, pp. 606-613
-
-
Vedaldi, A.1
Gulshan, V.2
Varma, M.3
Zisserman, A.4
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