Volume 46,
Number 1-3,
January-February-March 2002
Kernel Methods
- Nello Cristianini, Colin Campbell, Chris Burges:
Editorial: Kernel Methods: Current Research and Future Directions.
5-9 BibTeX
- Christopher K. I. Williams:
On a Connection between Kernel PCA and Metric Multidimensional Scaling.
11-19 BibTeX
- Peter Sollich:
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities.
21-52 BibTeX
- Sebastian Risau-Gusman, Mirta B. Gordon:
Hierarchical Learning in Polynomial Support Vector Machines.
53-70 BibTeX
- Junbin Gao, Steve R. Gunn, Chris J. Harris, Martin Brown:
A Probabilistic Framework for SVM Regression and Error Bar Estimation.
71-89 BibTeX
- Tong Zhang:
On the Dual Formulation of Regularized Linear Systems with Convex Risks.
91-129 BibTeX
- Olivier Chapelle, Vladimir Vapnik, Olivier Bousquet, Sayan Mukherjee:
Choosing Multiple Parameters for Support Vector Machines.
131-159 BibTeX
- Dennis DeCoste, Bernhard Schölkopf:
Training Invariant Support Vector Machines.
161-190 BibTeX
- Yi Lin, Yoonkyung Lee, Grace Wahba:
Support Vector Machines for Classification in Nonstandard Situations.
191-202 BibTeX
- Theodore B. Trafalis, Alexander M. Malyscheff:
An Analytic Center Machine.
203-223 BibTeX
- Ayhan Demiriz, Kristin P. Bennett, John Shawe-Taylor:
Linear Programming Boosting via Column Generation.
225-254 BibTeX
- Olvi L. Mangasarian, David R. Musicant:
Large Scale Kernel Regression via Linear Programming.
255-269 BibTeX
- Gary William Flake, Steve Lawrence:
Efficient SVM Regression Training with SMO.
271-290 BibTeX
- Chih-Wei Hsu, Chih-Jen Lin:
A Simple Decomposition Method for Support Vector Machines.
291-314 BibTeX
- Pavel Laskov:
Feasible Direction Decomposition Algorithms for Training Support Vector Machines.
315-349 BibTeX
- S. Sathiya Keerthi, Elmer G. Gilbert:
Convergence of a Generalized SMO Algorithm for SVM Classifier Design.
351-360 BibTeX
- Yi Li, Philip M. Long:
The Relaxed Online Maximum Margin Algorithm.
361-387 BibTeX
- Isabelle Guyon, Jason Weston, Stephen Barnhill, Vladimir Vapnik:
Gene Selection for Cancer Classification using Support Vector Machines.
389-422 BibTeX
- Edda Leopold, Jörg Kindermann:
Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?
423-444 BibTeX
Copyright © Wed Jun 4 19:16:16 2008
by Michael Ley (ley@uni-trier.de)
