CALL FOR PAPERS
SPECIAL SESSION ON SUPPORT VECTOR MACHINES AND KERNEL METHODS
http://www.csie.ntu.edu.tw/~cjlin/iconip2002.html
ICONIP'02-SEAL'02-FSKD'02
9th International Conference on
Neural Information Processing
November 18-22, 2002, Singapore
Deadline: May 31, 2002
Please email Chih-Jen Lin (cjlin@csie.ntu.edu.tw)
your paper following the submission guideline of
ICONIP 2002.
(http://www.ntu.edu.sg/home/nef/call.htm)
Organizers:
S. Sathiya Keerthi
Department of Mechanical Engineering
National University of Singapore
Email: mpessk@guppy.mpe.nus.edu.sg
Chih-Jen Lin
Department of Computer Science and Information Engineering
National Taiwan University
Email: cjlin@csie.ntu.edu.tw
Description:
Support Vector Machines (SVMs) and related kernel methods are
currently very active research areas within neural computation and
machine learning. Motivated by statistical learning theory they have
been successfully applied to numerous tasks within data mining,
computer vision, and bioinformatics, for example. SVMs are examples of
a broader category of learning approaches which utilize the concept of
kernel substitution, thereby making the task of learning more
tractable by exploiting an implicit mapping into a high dimensional
space. SVMs have many appealing properties such as solving convex
quadratic programming problems and they have been found to work very
well in practice.
The aim of the special session is to present new perspectives and
new directions in SVM and kernel methods.
We seek contributions from different aspects of this topic:
theory, implementations, new methodologies, and applications.
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