Special Issues

Kernel Methods (Dec 2001)

Introduction to the Special Issue on Kernel Methods

Nello Cristianini, John Shawe-Taylor, and 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 and 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 and Malik Yousef; 2(Dec):139-154, 2001.
[abs] [pdf] [ps.gz] [ps]

 

Uniform Object Generation for Optimizing One-class Classifiers

David M.J. Tax and 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, and 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 and Katya Scheinberg; 2(Dec):243-264, 2001.
[abs] [pdf] [ps.gz] [ps]

 

On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines

Koby Crammer and Yoram Singer; 2(Dec):265-292, 2001.
[abs] [pdf] [ps.gz] [ps]

 

Exact Simplification of Support Vector Solutions

Tom Downs, Kevin E. Gates, and 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]