6th Annual Workshop on Kernel Machines Theme: ON LEARNING KERNELS Westin Resort & Spa, Whistler, Canada December 13 or 14, 2002 (to be decided), following the main NIPS2002 conference.
Co-Chairs: Nello Cristianini, Dept. of Statistics, UC Davis Tommi Jaakkola, Computer Science, MIT Michael Jordan, Division of CS and Dept. of Statistics, UC Berkeley Gert Lanckriet, Dept. of EECS, UC Berkeley Recent theoretical advances and experimental results have drawn considerable attention to the use of kernel methods in learning systems. For the past five years, a growing community has been meeting at the NIPS workshops to discuss the latest progress in learning with kernels. Recent research in this area addresses the problem of learning the kernel itself from data. This subfield is becoming an active research area, offering a challenging interplay between statistics, advanced convex optimization and information geometry. It presents a number of interesting open problems. The workshop has two goals. First, it aims at discussing state-of-the-art research on 'learning the kernel', as well as giving an introduction to some of the new techniques used in this subfield. Second, it offers a meeting point for a diverse community of researchers working on kernel methods. As such, contributions from ALL subfields in kernel methods are welcome and will be considered for a poster presentation, with priority to very recent results. Furthermore, contributions on the main theme of learning kernels will be considered for oral presentations. Submission deadline: November 15th, 2002 Submission details: http://www-stat.ucdavis.edu/~nello/nips02.html
