Call for NIPS 2008 Kernel Learning Workshop Submissions
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Volume 2
Volume 2 (Oct 2001 -- Mar 2002)
- Introduction to the Special Issue on Kernel Methods
- Nello Cristianini, John Shawe-Taylor, Robert C. Williamson; 2(Dec):95-96, 2001.
[abs] [pdf] [ps.gz] [ps] - Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space
- Roman Rosipal, Leonard J. Trejo; 2(Dec):97-123, 2001.
[abs] [pdf] [ps.gz] [ps] - Support Vector Clustering
- Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik; 2(Dec):125-137, 2001.
[abs] [pdf] [ps.gz] [ps]
revised version: Jan 2002
[abs] [pdf] [ps.gz] [ps] - One-Class SVMs for Document Classification
- Larry M. Manevitz, Malik Yousef; 2(Dec):139-154, 2001.
[abs] [pdf] [ps.gz] [ps] - Uniform Object Generation for Optimizing One-class Classifiers
- David M.J. Tax, Robert P.W. Duin; 2(Dec):155-173, 2001.
[abs] [pdf] [ps.gz] [ps] - A Generalized Kernel Approach to Dissimilarity-based Classification
- Elzbieta Pekalska, Pavel Paclik, Robert P.W. Duin; 2(Dec):175-211, 2001.
[abs] [pdf] [ps.gz] [ps] - A New Approximate Maximal Margin Classification Algorithm
- Claudio Gentile; 2(Dec):213-242, 2001.
[abs] [pdf] [ps.gz] [ps] - Efficient SVM Training Using Low-Rank Kernel Representations
- Shai Fine, Katya Scheinberg; 2(Dec):243-264, 2001.
[abs] [pdf] [ps.gz] [ps] - On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines
- Koby Crammer, Yoram Singer; 2(Dec):265-292, 2001.
[abs] [pdf] [ps.gz] [ps] - Exact Simplification of Support Vector Solutions
- Tom Downs, Kevin E. Gates, Annette Masters; 2(Dec):293-297, 2001.
[abs] [pdf] [ps.gz] [ps] - Classes of Kernels for Machine Learning: A Statistics Perspective
- Marc G. Genton; 2(Dec):299-312, 2001.
[abs] [pdf] [ps.gz] [ps]