Introduction to the special issue on kernel methods
Nello Cristianini, John S. Shawe-Taylor, Robert C. Williamson · 2002
Introduction to the Special Issue on Kernel Methods Nello Cristianini [email protected] BIOwulf Technologies Berkeley, CA 94704 John Shawe-Taylor [email protected] Department of Computer Science, Royal Holloway, University of London Egham, Surrey TW20 0EX, UK Robert C. Williamson [email protected] Research School of Information Sciences and Engineering, Australian National University Canberra ACT 0200 Australia This special issue arose from a workshop held at NIPS 2000 on New Directions in Kernel Methods, though not all the submissions received were from talks at the workshop. With the great help of around forty referees we selected the following ten papers from some 28 submissions, an acceptance rate of 36%. The high number of submissions we received illustrates the vitality and popularity of the field of kernel methods in machine learning. We are pleased to be able to support the fledgling Journal of Machine Learning Research in this way and to provide a rapid