-
6
-
-
84950771789
-
Estimating optimal transformations for multiple regression and correlation
-
Leo Breiman and Jerome H. Friedman. Estimating optimal transformations for multiple regression and correlation. Journal of the American Statistical Association, 80:580-598, 1985.
-
(1985)
Journal of the American Statistical Association
, vol.80
, pp. 580-598
-
-
Breiman, L.1
Friedman, J.H.2
-
7
-
-
0000341667
-
Remarks on functional canonical variates, alternating least squares methods and ACE
-
Andreas Buja. Remarks on functional canonical variates, alternating least squares methods and ACE. The Annals of Statistics, 18(3):1032-1069, 1990.
-
(1990)
The Annals of Statistics
, vol.18
, Issue.3
, pp. 1032-1069
-
-
Buja, A.1
-
10
-
-
4544371135
-
Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces
-
Kenji Fukumizu, Francis R. Bach, and Michael I. Jordan. Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces. Journal of Machine Learning Research, 5:73-99, 2004.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 73-99
-
-
Fukumizu, K.1
Bach, F.R.2
Jordan, M.I.3
-
12
-
-
33646528415
-
Measuring statistical dependence with hilbert-schmidt norms
-
S. Jain, H. U. Simon, and E. Tomita, editors, Springer
-
Arthur Gretton, Olivier Bousquet, Alexander J. Smola, and Bernhard Schölkopf. Measuring statistical dependence with hilbert-schmidt norms. In S. Jain, H. U. Simon, and E. Tomita, editors, 16th International Conference on Algorithmic Learning Theory, pages 63-77. Springer, 2005a.
-
(2005)
16th International Conference on Algorithmic Learning Theory
, pp. 63-77
-
-
Gretton, A.1
Bousquet, O.2
Smola, A.J.3
Schölkopf, B.4
-
13
-
-
29144505110
-
Kernel constrained covariance for dependence measurement
-
Arthur Gretton, Alexander J. Smola, Olivier Bousquet, R. Herbrich, A. Belitski, M. Augath, Y. Murayama, J. Pauls, B. Schölkopf, and N. Logothetis. Kernel constrained covariance for dependence measurement. In AISTATS, volume 10, 2005b.
-
(2005)
AISTATS
, vol.10
-
-
Gretton, A.1
Smola, A.J.2
Bousquet, O.3
Herbrich, R.4
Belitski, A.5
Augath, M.6
Murayama, Y.7
Pauls, J.8
Schölkopf, B.9
Logothetis, N.10
-
16
-
-
0038734117
-
Functional canonical analysis for square integrable stochastic procersses
-
Guozhong He, Hans-Georg Müller, and Jane-Ling Wang. Functional canonical analysis for square integrable stochastic procersses. Journal of Multivariate Analysis, 85:54-77, 2003.
-
(2003)
Journal of Multivariate Analysis
, vol.85
, pp. 54-77
-
-
He, G.1
Müller, H.2
Wang, J.3
-
18
-
-
0000732447
-
Canonical correlation analysis when the data are curves
-
Sue E. Leurgans, Rana A. Moyeed, and Bernard W. Silverman. Canonical correlation analysis when the data are curves. Journal of the Royal Statistical Society, Series B, 55(3):725-740, 1993.
-
(1993)
Journal of the Royal Statistical Society, Series B
, vol.55
, Issue.3
, pp. 725-740
-
-
Leurgans, S.E.1
Moyeed, R.A.2
Silverman, B.W.3
-
20
-
-
0033337021
-
Fisher discriminant analysis with kernels
-
Y.-H. Hu, J. Larsen, E. Wilson, and S. Douglas, editors, IEEE
-
Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, and Klaus-Robert Müller. Fisher discriminant analysis with kernels. In Y.-H. Hu, J. Larsen, E. Wilson, and S. Douglas, editors, Neural Networks for Signal Processing, volume IX, pages 41-48. IEEE, 1999.
-
(1999)
Neural Networks for Signal Processing
, vol.9
, pp. 41-48
-
-
Mika, S.1
Rätsch, G.2
Weston, J.3
Schölkopf, B.4
Müller, K.5
-
24
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalue problem
-
Bernhard Schölkopf, Alexander Smola, and Klaus-Robert Müller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10:1299-1319, 1998.
-
(1998)
Neural Computation
, vol.10
, pp. 1299-1319
-
-
Schölkopf, B.1
Smola, A.2
Müller, K.3
-
25
-
-
33847198752
-
-
Ingo Steinwart, Don Hush, and Clint Scovel. An explicit description of the reproducing kernel Hilbert spaces of Gaussian RBF kernels. Technical Report LA-UR-04-8274, Los Alamos National Laboratory, 2004.
-
Ingo Steinwart, Don Hush, and Clint Scovel. An explicit description of the reproducing kernel Hilbert spaces of Gaussian RBF kernels. Technical Report LA-UR-04-8274, Los Alamos National Laboratory, 2004.
-
-
-
-
26
-
-
33747192545
-
Detecting hidden synchronization of chaotic dynamical systems: A kernel-based approach
-
Hiromichi Suetani, Yukito Iba, and Kazuyuki Aihara. Detecting hidden synchronization of chaotic dynamical systems: A kernel-based approach. Journal of Physics A: Mathematical and General, 39:10723-10742, 2006.
-
(2006)
Journal of Physics A: Mathematical and General
, vol.39
, pp. 10723-10742
-
-
Suetani, H.1
Iba, Y.2
Aihara, K.3
-
28
-
-
33847214295
-
-
Ard W. van der Vaart. Asymptotic Statistics. Cambridge University Press, 1998.
-
Ard W. van der Vaart. Asymptotic Statistics. Cambridge University Press, 1998.
-
-
-
-
29
-
-
4444314854
-
Extraction of correlated gene clusters from multiple genomic data by generalized kernel canonical correlation analysis
-
Yoshihiro Yamanishi, Jean-Philippe Vert, Akihiro Nakaya, and Minoru Kanehisa. Extraction of correlated gene clusters from multiple genomic data by generalized kernel canonical correlation analysis. Bioinformatics, 19:323i-330i, 2003.
-
(2003)
Bioinformatics
, vol.19
-
-
Yamanishi, Y.1
Vert, J.2
Nakaya, A.3
Kanehisa, M.4
-
30
-
-
84864041215
-
On the convergence of eigenspaces in kernel principal component analysis
-
Y. Weiss, B. Schölkopf, and J. Platt, editors, MIT Press, Cambridge, MA
-
Laurent Zwald and Gilles Blanchard. On the convergence of eigenspaces in kernel principal component analysis. In Y. Weiss, B. Schölkopf, and J. Platt, editors, Advances in Neural Information Processing Systems 18. MIT Press, Cambridge, MA, 2006.
-
(2006)
Advances in Neural Information Processing Systems 18
-
-
Zwald, L.1
Blanchard, G.2
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