CFP: special issue on Support Vector Machine

[Chih-Jen Lin]

                 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  is  an  intensive  area of research closely
related to statistical learning theory with numerous applications. The
basic  form  of  the  corresponding learning algorithm can be shown to
correspond  to  a  linear  model  used  in  a  high-dimensional  space
non-linearly   related   to  input  space.  A  key  advantage  is  the
low-complexity  of  the  operations  performed by using kernels in the
input space. The construction of the high-dimensional space is based a
subset  of the original input data, the so called support vectors. The 
corresponding quadratic programming problem in simulative environments is
solved using different optimization techniques. Their  strong
performance  in  applications  has  increased  the  interest  in  this
approach   with   areas  of  application  research  including  pattern
recognition, computer vision, and biomedical analysis.

The  Neurocomputing  journal  invites  original  contributions for the
forthcoming  special  issue  on  Support  Vector Machines from a broad
scope  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 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 at 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 to be a
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 at 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 at 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 at 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 at earthlink.net