|
279
|
An introduction to kernel-based learning algorithms
– Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda, Bernhard Schölkopf
- 2001
|
|
5
|
Mathematical Programming Approaches To Machine Learning And Data Mining
– Paul S. Bradley
- 1998
|
|
9
|
A short introduction to learning with kernels
– Bernhard Schölkopf, Alexander J. Smola
- 2002
|
|
7
|
Statistical Learning and Kernel Methods in Bioinformatics
– Bernhard Schölkopf, Isabelle Guyon, Jason Weston
- 2000
|
|
775
|
Nonlinear component analysis as a kernel eigenvalue problem
– Bernhard Schölkopf, Alexander Smola, Klaus-Robert Müller
- 1996
|
|
308
|
A tutorial on support vector regression
– Alex J. Smola, Bernhard Schölkopf
- 2004
|
|
1
|
A review of RKHS methods in machine learning
– Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola
- 2006
|
|
6
|
Large margin multi-category discriminant models and scale-sensitive Ψ-dimensions
– Yann Guermeur
- 2006
|
|
1
|
Pattern Classification via Single Spheres
– Jigang Wang, Predrag Neskovic, Leon N. Cooper
|
|
67
|
On a Kernel-based Method for Pattern Recognition, Regression, Approximation, and Operator Inversion
– Alex J. Smola, Bernhard Schölkopf
- 1997
|
|
97
|
Comparing Support Vector Machines with Gaussian Kernels to Radial Basis Function Classifiers
– Bernhard Schölkopf, K. Sung, C. Burges, F. Girosi, P. Niyogi, T. Poggio, V. Vapnik
- 1997
|
|
22
|
Combining protein secondary structure prediction models with ensemble methods of optimal complexity
– Yann Guermeur , Gianluca Pollastri , Andre Elisseeff, Dominique Zelus ,Helene Paugam-Moisy , Pierre Baldi
- 2004
|
|
119
|
The Connection between Regularization Operators and Support Vector Kernels
– Alex J. Smola, Bernhard Schölkopf, Klaus-Robert Müller
- 1998
|
|
2
|
Discriminative Methods for Label Sequence Learning
– Yasemin Altun
- 2005
|
|
20
|
Kernel Machine Based Learning For Multi-View Face Detection and Pose Estimation
– Stan Z. Li, QingDong Fu, Lie Gu, Bernhard Schölkopf, Yimin Cheng, HongJiag Zhang
- 2001
|
|
36
|
Moderating the Outputs of Support Vector Machine Classifiers
– James Tin-yau Kwok
- 1999
|
|
99
|
Support Vector Machines for Multi-Class Pattern Recognition
– J. Weston, C. Watkins
- 1999
|
|
54
|
Fast Kernel Classifiers With Online And Active Learning
– Antoine Bordes, Seyda Ertekin, Jason Weston, Léon Bottou
- 2005
|
|
24
|
Properties of Support Vector Machines
– Massimiliano Pontil, Alessandro Verri
- 1997
|
