NEUROCOMPUTING Special Issue - note extended deadline January 19, 1998

John Shawe-Taylor john at dcs.rhbnc.ac.uk
Thu Dec 11 07:45:57 EST 1997


                       NEUROCOMPUTING
               announces a Special Issue on 

    Theoretical analysis of real-valued function classes.


Manuscripts are solicited for a special issue of NEUROCOMPUTING on the
topic of 'Theoretical analysis of real-valued function classes'. 
Analysis of Neural Networks both as approximators and classifiers
frequently relies on viewing them as real-valued function classes. This
perspective places Neural Network research in a far broader context
linking it with approximation theory, complexity theory over the reals,
statistical and computational learning theory, among others.  The aim of
the special issue is to bring these links into focus by inviting papers
on the theoretical analysis of real-valued function classes where the
results are relevant to the special case of Neural Networks. The
following is a (nonexhaustive) list of possible topics of interest for
the SPECIAL ISSUE:

    - Measures of Complexity 
    - Approximation rates 
    - Learning algorithms 
    - Generalization estimation 
    - Real valued complexity analysis
    - Novel neural functionality and its analysis, eg spiking neurons
    - Kernel and alternative representations 
    - Algorithms for forming real-valued combinations of functions
    - On-line learning algorithms

The following team of editors will be processing the submitted papers:
John Shawe-Taylor  (coordinating editor), Royal Holloway, Univ. of London
Shai Ben-David, Technion, Israel
Pascal Koiran, ENS, Lyon, France
Rob Schapire, AT&T Labs, Florham Park, USA

The deadline for submissions is January 19, 1998. Every effort will be
made to ensure fast processing of the papers by editors and referees.
For this reason electronic submission of postscript files (compressed
and uuencoded) via email is encouraged. Submission should be to the
following address:

John Shawe-Taylor
Dept of Computer Science
Royal Holloway, University of London
Egham, Surrey
TW20 0EX
UK

or Email: jst at dcs.rhbnc.ac.uk



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