-
2
-
-
0347243182
-
Nonlinear component analysis as a Kernel eigenvalue problem
-
B. Schölkopf, A.J. Smola, and K.-R. Müller, "Nonlinear Component Analysis as a Kernel Eigenvalue Problem," Neural Computation, vol. 10, pp. 1299-1319, 1998.
-
(1998)
Neural Computation
, vol.10
, pp. 1299-1319
-
-
Schölkopf, B.1
Smola, A.J.2
Müller, K.-R.3
-
4
-
-
0000764772
-
The use of multiple measurements in taxonomic problems
-
R.A. Fisher, "The Use of Multiple Measurements in Taxonomic Problems," Annals of Eugenics, vol. 7, pp. 179-188, 1936.
-
(1936)
Annals of Eugenics
, vol.7
, pp. 179-188
-
-
Fisher, R.A.1
-
5
-
-
84898965347
-
A mathematical programming approach to the Kernel Fisher algorithm
-
T.K. Leen, T.G. Dietterich, and V. Tresp, eds.
-
S. Mika, G. Rätsch, and K.-R. Müller, "A Mathematical Programming Approach to the Kernel Fisher Algorithm," Proc. Conf. Neural Information Processing Systems, T.K. Leen, T.G. Dietterich, and V. Tresp, eds., vol. 13, pp. 591-597, 2001.
-
(2001)
Proc. Conf. Neural Information Processing Systems
, vol.13
, pp. 591-597
-
-
Mika, S.1
Rätsch, G.2
Müller, K.-R.3
-
6
-
-
0005031076
-
Transformation invariance in pattern recognition - Tangent distance and tangent propagation
-
Springer, G. Orr and K.-R. Müller, eds.
-
P.Y. Simard, Y.A. LeCun, J.S. Denker, and B. Victorri, "Transformation Invariance in Pattern Recognition - Tangent Distance and Tangent Propagation," Neural Networks: Tricks of the Trade, Springer, G. Orr and K.-R. Müller, eds., vol. 1524, pp. 239-274, 1998.
-
(1998)
Neural Networks: Tricks of the Trade
, vol.1524
, pp. 239-274
-
-
Simard, P.Y.1
Lecun, Y.A.2
Denker, J.S.3
Victorri, B.4
-
8
-
-
0033337021
-
Fisher discriminant analysis with Kernels
-
Y.-H. Hu, J. Larsen, E. Wilson, and S. Douglas, eds.
-
S. Mika, G. Rätsch, J. Weston, B. Schölkopf, and K.-R. Müller, "Fisher Discriminant Analysis with Kernels," Neural Networks for Signal Processing IX, Y.-H. Hu, J. Larsen, E. Wilson, and S. Douglas, eds., pp. 41-48, 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.-R.5
-
9
-
-
84898984897
-
Nonlinear discriminant analysis using Kernel functions
-
S.A. Solla, T.K. Leen, and K.-R. Müller, eds.
-
V. Roth and V. Steinhage, "Nonlinear Discriminant Analysis Using Kernel Functions," Proc. Conf. Advances in Neural Information Processing Systems, S.A. Solla, T.K. Leen, and K.-R. Müller, eds., vol. 12, pp. 568-574, 2000.
-
(2000)
Proc. Conf. Advances in Neural Information Processing Systems
, vol.12
, pp. 568-574
-
-
Roth, V.1
Steinhage, V.2
-
10
-
-
0034296402
-
Generalized discriminant analysis using a Kernel approach
-
G. Baudat and F. Anouar, "Generalized Discriminant Analysis Using a Kernel Approach," Neural Computation, vol. 12, no. 10, pp. 2385-2404, 2000.
-
(2000)
Neural Computation
, vol.12
, Issue.10
, pp. 2385-2404
-
-
Baudat, G.1
Anouar, F.2
-
11
-
-
0035272287
-
An introduction to Kernel-based learning algorithms
-
K.-R. Müller, S. Mika, G. Rätsch, K. Tsuda, and B. Schölkopf, "An Introduction to Kernel-Based Learning Algorithms," IEEE Trans. Neural Networks, vol. 12, no. 2, pp. 181-201, 2001.
-
(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
-
12
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
D. Haussler, ed.
-
B. Boser, I. Guyon, and V. N. Vapnik, "A Training Algorithm for Optimal Margin Classifiers," Proc. COLT, D. Haussler, ed., pp. 144-152, 1992.
-
(1992)
Proc. COLT
, pp. 144-152
-
-
Boser, B.1
Guyon, I.2
Vapnik, V.N.3
-
14
-
-
0036709275
-
Constructing boosting algorithms from SVMs: An application to one-class classification
-
Sept. earlier version is GMD Technical Report no. 119, 2000
-
G. Rätsch, S. Mika, B. Schölkopf, and K.-R. Müller, "Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification," IEEE Trans. Pattern and Machine Analysis, vol. 24, no. 9, pp. 1184-1199, Sept. 2002. earlier version is GMD Technical Report no. 119, 2000.
-
(2002)
IEEE Trans. Pattern and Machine Analysis
, vol.24
, Issue.9
, pp. 1184-1199
-
-
Rätsch, G.1
Mika, S.2
Schölkopf, B.3
Müller, K.-R.4
-
15
-
-
84865131152
-
A generalized representer theorem
-
Springer, D.P. Helmbold and R.C. Williamson, eds.
-
B. Schölkopf, R. Herbrich, and A.J. Smola, "A Generalized Representer Theorem," Proc. COLT/EuroCOLT, Springer, D.P. Helmbold and R.C. Williamson, eds., pp. 416-426, 2001.
-
(2001)
Proc. COLT/EuroCOLT
, pp. 416-426
-
-
Schölkopf, B.1
Herbrich, R.2
Smola, A.J.3
-
16
-
-
0002619965
-
Ridge regression learning algorithm in dual variables
-
C. Saunders, A. Gammermann, and V. Vovk, "Ridge Regression Learning Algorithm in Dual Variables," Proc. 15th Int'l Conf. Machine Learning, pp. 515-521, 1998.
-
(1998)
Proc. 15th Int'l Conf. Machine Learning
, pp. 515-521
-
-
Saunders, C.1
Gammermann, A.2
Vovk, V.3
-
17
-
-
0032638628
-
Least squares support vector machine classifiers
-
J.A.K. Suykens and J. Vanderwalle, "Least Squares Support Vector Machine Classifiers," Neural Processing Letters, vol. 9, no. 3, pp. 293-300, 1999.
-
(1999)
Neural Processing Letters
, vol.9
, Issue.3
, pp. 293-300
-
-
Suykens, J.A.K.1
Vanderwalle, J.2
-
18
-
-
84899032239
-
The relevance vector machine
-
S.A. Solla, T.K. Leen, and K.-R. Müller, eds.
-
M.E. Tipping, "The Relevance Vector Machine," Proc. Conf. Advances in Neural Information Processing Systems, S.A. Solla, T.K. Leen, and K.-R. Müller, eds., vol. 12, pp. 652-658, 2000.
-
(2000)
Proc. Conf. Advances in Neural Information Processing Systems
, vol.12
, pp. 652-658
-
-
Tipping, M.E.1
-
20
-
-
0038368289
-
-
technical report, Katholieke Universiteit Leuven, Aug.
-
T.V. Gestel, J.A.K. Suykens, G. Lanckriet, A. Lambrechts, B. De Moor, and J. Vanderwalle, "Bayesian Framework for Least Squares Support Vector Machine Classifiers, Gaussian Processs and Kernel Fisher Discriminant Analysis," technical report, Katholieke Universiteit Leuven, Aug. 2001.
-
(2001)
Bayesian Framework for Least Squares Support Vector Machine Classifiers, Gaussian Processs and Kernel Fisher Discriminant Analysis
-
-
Gestel, T.V.1
Suykens, J.A.K.2
Lanckriet, G.3
Lambrechts, A.4
De Moor, B.5
Vanderwalle, J.6
-
21
-
-
0005073887
-
An improved training algorithm for Kernel Fisher discriminants
-
T. Jaakkola and T. Richardson, eds.
-
S. Mika, A.J. Smola, and B. Schölkopf, "An Improved Training Algorithm for Kernel Fisher Discriminants," Proc, AISTATS, T. Jaakkola and T. Richardson, eds., pp. 98-104, 2001.
-
(2001)
Proc, AISTATS
, pp. 98-104
-
-
Mika, S.1
Smola, A.J.2
Schölkopf, B.3
-
22
-
-
0032098361
-
The connection between regularisation operators and support vector Kernels
-
A.J. Smola, B. Schölkopf, and K.-R. Müller, "The Connection between Regularisation Operators and Support Vector Kernels," Neural Networks, vol. 11, pp. 637-649, 1998.
-
(1998)
Neural Networks
, vol.11
, pp. 637-649
-
-
Smola, A.J.1
Schölkopf, B.2
Müller, K.-R.3
-
23
-
-
0003120218
-
Fast training of support vector machines using sequential minimal optimization
-
Mass.: MIT Press, B. Schölkopf, C.J.C. Burges, and A.J. Smola, eds.
-
J. Platt, "Fast Training of Support Vector Machines Using Sequential Minimal Optimization," Advances in Kernel Methods-Support Vector Learning, Mass.: MIT Press, B. Schölkopf, C.J.C. Burges, and A.J. Smola, eds., pp. 185-208, 1999.
-
(1999)
Advances in Kernel Methods-Support Vector Learning
, pp. 185-208
-
-
Platt, J.1
-
25
-
-
0032594954
-
Input space vs. feature space in Kernel-based methods
-
Sept.
-
B. Schölkopf, S. Mika, C.J.C. Burges, P. Knirsch, K.-R. Müller, G. Rätsch, and A.J. Smola, "Input Space vs. Feature Space in Kernel-Based Methods," IEEE Trans. Neural Networks, vol. 10, no. 5, pp. 1000-1017, Sept. 1999.
-
(1999)
IEEE Trans. Neural Networks
, vol.10
, Issue.5
, pp. 1000-1017
-
-
Schölkopf, B.1
Mika, S.2
Burges, C.J.C.3
Knirsch, P.4
Müller, K.-R.5
Rätsch, G.6
Smola, A.J.7
-
26
-
-
0033311945
-
Classification on proximity data with LP-machines
-
D. Willshaw and A. Murray, eds.
-
T. Graepel, R. Herbrich, B. Schölkopf, A.J. Smola, P.L. Bartlett, K.-R. Müller, K. Obermayer, and R.C. Williamson, "Classification on Proximity Data with LP-Machines," Proc, ICANN '99, D. Willshaw and A. Murray, eds., vol. 1, pp. 304-309, 1999.
-
(1999)
Proc, ICANN '99
, vol.1
, pp. 304-309
-
-
Graepel, T.1
Herbrich, R.2
Schölkopf, B.3
Smola, A.J.4
Bartlett, P.L.5
Müller, K.-R.6
Obermayer, K.7
Williamson, R.C.8
-
27
-
-
0036643047
-
Sparse regression ensembles in infinite and finite hypothesis spaces
-
G. Rätsch, A. Demiriz, and K. Bennett, "Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces," Machine Learning, vol. 48, no. 1-3, pp. 193-221, 2002.
-
(2002)
Machine Learning
, vol.48
, Issue.1-3
, pp. 193-221
-
-
Rätsch, G.1
Demiriz, A.2
Bennett, K.3
-
29
-
-
0037692281
-
-
benchmark repository used for the STATLOG competition
-
ftp://ftp.ics.uci.edu/pub/machine-learning-databases/statlog/, benchmark repository used for the STATLOG competition. 2002.
-
(2002)
-
-
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