-
1
-
-
13444297533
-
Kernel independent component analysis
-
Bach F., and Jordan M.I. Kernel independent component analysis. J. Mach. Learn. Res. 2 (2003) 121-167
-
(2003)
J. Mach. Learn. Res.
, vol.2
, pp. 121-167
-
-
Bach, F.1
Jordan, M.I.2
-
2
-
-
55949106322
-
-
Y. Bengio, P. Vincent, J.-F. Paiement, Spectral Clustering and Kernel PCA are Learning Eigenfunctions, Département d'informatique et recherche opérationelle, université de Montréal, Montréal, Canada, 2003.
-
Y. Bengio, P. Vincent, J.-F. Paiement, Spectral Clustering and Kernel PCA are Learning Eigenfunctions, Département d'informatique et recherche opérationelle, université de Montréal, Montréal, Canada, 2003.
-
-
-
-
3
-
-
34249753618
-
Support vector networks
-
Cortes C., and Vapnik V. Support vector networks. Mach. Learn. 20 (1995) 273-297
-
(1995)
Mach. Learn.
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
5
-
-
21744462998
-
On bias, variance, 0/1 loss, and the curse-of-dimensionality
-
Friedman J.H. On bias, variance, 0/1 loss, and the curse-of-dimensionality. Data Min. Knowl. Discovery 1 1 (1997) 55-77
-
(1997)
Data Min. Knowl. Discovery
, vol.1
, Issue.1
, pp. 55-77
-
-
Friedman, J.H.1
-
6
-
-
0034304404
-
Kernel and nonlinear canonical correlation analysis
-
Fyfe C., and Lai P.L. Kernel and nonlinear canonical correlation analysis. Int. J. Neural Syst. 10 (2001) 365-374
-
(2001)
Int. J. Neural Syst.
, vol.10
, pp. 365-374
-
-
Fyfe, C.1
Lai, P.L.2
-
7
-
-
0036565280
-
Mercer kernel-based clustering in feature space
-
Girolami M. Mercer kernel-based clustering in feature space. IEEE Trans. Neural Networks 13 3 (2002) 780-784
-
(2002)
IEEE Trans. Neural Networks
, vol.13
, Issue.3
, pp. 780-784
-
-
Girolami, M.1
-
8
-
-
40649102190
-
-
R. Jenssen, D. Erdogmus, J.C. Principe, T. Eltoft, Information theoretic angle-based spectral clustering: a theoretical analysis and an algorithm, in: Proceedings of International Joint Conference on Neural Networks, Vancouver, Canada, 2006, pp. 4904-4911.
-
R. Jenssen, D. Erdogmus, J.C. Principe, T. Eltoft, Information theoretic angle-based spectral clustering: a theoretical analysis and an algorithm, in: Proceedings of International Joint Conference on Neural Networks, Vancouver, Canada, 2006, pp. 4904-4911.
-
-
-
-
9
-
-
55949099469
-
-
J. MacQueen, Some methods for classification and analysis of multivariate observations, in: Proceedings of Berkeley Symposium on Mathematical Statistics and Probability, University of California Press, Berkeley, pp. 281-297.
-
J. MacQueen, Some methods for classification and analysis of multivariate observations, in: Proceedings of Berkeley Symposium on Mathematical Statistics and Probability, University of California Press, Berkeley, pp. 281-297.
-
-
-
-
10
-
-
0001500115
-
Functions of positive and negative type and their connection with the theory of integral equations
-
Mercer J. Functions of positive and negative type and their connection with the theory of integral equations. Philos. Trans. R. Soc. London A (1909) 415-446
-
(1909)
Philos. Trans. R. Soc. London
, vol.A
, pp. 415-446
-
-
Mercer, J.1
-
11
-
-
0033337021
-
-
S. Mika, G. Rätsch, J. Weston, B. Schölkopf, K.R. Müller, Fisher discriminant analysis with kernels, in: Proceedings of IEEE International Workshop on Neural Networks for Signal Processing, Madison, USA, August 23-25, 1999, pp. 41-48.
-
S. Mika, G. Rätsch, J. Weston, B. Schölkopf, K.R. Müller, Fisher discriminant analysis with kernels, in: Proceedings of IEEE International Workshop on Neural Networks for Signal Processing, Madison, USA, August 23-25, 1999, pp. 41-48.
-
-
-
-
12
-
-
0035272287
-
An introduction to kernel-based learning algorithms
-
Müller K.R., Mika S., Rätsch G., Tsuda K., and Schölkopf B. An introduction to kernel-based learning algorithms. IEEE Trans. Neural Networks 12 2 (2001) 181-201
-
(2001)
IEEE Trans. Neural Networks
, vol.12
, Issue.2
, pp. 181-201
-
-
Müller, K.R.1
Mika, S.2
Rätsch, G.3
Tsuda, K.4
Schölkopf, B.5
-
13
-
-
84899013108
-
-
A.Y. Ng, M. Jordan, Y. Weiss, On spectral clustering: analysis and an algorithm, in: Advances in Neural Information Processing Systems, vol. 14, MIT Press, Cambridge MA, 2002, pp. 849-856.
-
A.Y. Ng, M. Jordan, Y. Weiss, On spectral clustering: analysis and an algorithm, in: Advances in Neural Information Processing Systems, vol. 14, MIT Press, Cambridge MA, 2002, pp. 849-856.
-
-
-
-
14
-
-
0000986833
-
Information theoretic learning
-
Haykin S. (Ed), Wiley, New York
-
Principe J., Xu D., and Fisher J. Information theoretic learning. In: Haykin S. (Ed). Unsupervised Adaptive Filtering vol. I (2002), Wiley, New York 265-319
-
(2002)
Unsupervised Adaptive Filtering
, vol.I
, pp. 265-319
-
-
Principe, J.1
Xu, D.2
Fisher, J.3
-
15
-
-
55949118645
-
-
A. Renyi, On measures of entropy and information, in: Fourth Berkeley Symposium on Mathematical Statistics and Probability, 1960, pp. 547-561.
-
A. Renyi, On measures of entropy and information, in: Fourth Berkeley Symposium on Mathematical Statistics and Probability, 1960, pp. 547-561.
-
-
-
-
17
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalue problem
-
Schölkopf B., Smola A.J., and Müller K.R. Nonlinear component analysis as a kernel eigenvalue problem. Neural Comput. 10 (1998) 1299-1319
-
(1998)
Neural Comput.
, vol.10
, pp. 1299-1319
-
-
Schölkopf, B.1
Smola, A.J.2
Müller, K.R.3
-
21
-
-
84899010839
-
-
C. Williams, M. Seeger, Using the Nyström method to speed up kernel machines, in: Advances in Neural Information Processing Systems, vol. 13, MIT Press, Cambridge MA, 2001, pp. 682-688.
-
C. Williams, M. Seeger, Using the Nyström method to speed up kernel machines, in: Advances in Neural Information Processing Systems, vol. 13, MIT Press, Cambridge MA, 2001, pp. 682-688.
-
-
-
-
22
-
-
84898937175
-
-
H. Zha, X. He, C. Ding, H. Simon, M. Gu, Spectral relaxation for K-means clustering, in: Advances in Neural Information Processing Systems, vol. 14, MIT Press, Cambridge MA, 2002, pp. 1057-1064.
-
H. Zha, X. He, C. Ding, H. Simon, M. Gu, Spectral relaxation for K-means clustering, in: Advances in Neural Information Processing Systems, vol. 14, MIT Press, Cambridge MA, 2002, pp. 1057-1064.
-
-
-
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