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 ([log in to unmask])
your paper following the submission guideline of
ICONIP 2002.
(http://www.ntu.edu.sg/home/nef/call.htm)
Organizers:
Chih-Jen Lin
Department of Computer Science and Information Engineering
National Taiwan University
Email: [log in to unmask]
S. Sathiya Keerthi
Department of Mechanical Engineering
National University of Singapore
Email: [log in to unmask]
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.
|