CALL FOR PAPERS: special issue on SVM
NEUROCOMPUTING
An International Journal
published by Elsevier Science B.V., vol. 42-47, 24 issues, in 2002
ISNN 0925-2312, URL: http://www.elsevier.nl/locate/neucom
Special Issue on Support Vector Machines
Paper Submission Deadline: February 28, 2002
Further information: http://www.csie.ntu.edu.tw/~cjlin/svmcfp.html
Support Vector Machines (SVMs) are currently a very active research area
within 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 for machine learning.
For example, the classic SVM learning task involves quadratic programming:
there is only one solution and this may be found by using many of the
efficient algorithms developed in optimization theory. Furthermore,
recently developed model selection strategies can be applied, so that
few, if any, learning parameters must be set by the operator. Above
all, they have been found to work very well in practice.
The Neurocomputing journal invites original contributions for the
forthcoming special issue on Support Vector Machines from a broad
range of areas. Some topics relevant to this special issue include,
but are not restricted to:
- -- Theoretical foundations, algorithms, and implementations
- -- Model selection and hyperparameter tuning
- -- Choosing kernels for special situations
- -- Probabilistic treatment of SVMs
- -- SVM methods for large scale problems
- -- Benchmarking SVMs against other methods
- -- Feature selection methods for SVMs
- -- Key applications including, but not restricted to data mining,
bioinformatics, text categorization, machine vision, etc.
Please send two hardcopies of the manuscript before February 28, 2002 to:
V. David Sanchez A., Neurocomputing - Editor in Chief -
Advanced Computational Intelligent Systems
P.O. Box 60130,
Pasadena, CA 91116-6130, U.S.A.
Street address:
1149 Wotkyns Drive
Pasadena, CA 91103, U.S.A.
Fax: +1-626-793-5120
Email: vdavidsanchez@earthlink.net
including abstract, keywords, a cover page containing the title and
author names, corresponding author name's complete address including
telephone, fax, and email address, and clear indication of
submission to the Special Issue on Support Vector Machines.
Guest Editors
Colin Campbell
Department of Engineering Mathematics
Bristol University, Bristol BS8 1TR
United Kingdom
Phone: (+44) (0) 117 928 9858
Fax: (+44) (0)117-925-1154
Email: C.Campbell@bristol.ac.uk
Chih-Jen Lin
Department of Computer Science and Information Engineering
National Taiwan University
Taipei, Taiwan, 106
Phone: (+886) 2-2362-5336 x 413
Fax: (+886) 2-2362-8167
Email: cjlin@csie.ntu.edu.tw
S. Sathiya Keerthi
Department of Mechanical Engineering
National University of Singapore
10 KentRidge Crescent
Singapore 119260
Republic of Singapore
Phone: (+65) 874-4684
Fax: (+65) 779-1459
Email: mpessk@guppy.mpe.nus.edu.sg
V. David Sanchez A., Neurocomputing - Editor in Chief -
Advanced Computational Intelligent Systems
P.O. Box 60130
Pasadena, CA 91116-6130
U.S.A.
Fax: +1-626-793-5120
Email: vdavidsanchez@earthlink.net
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