Call for papers

              Journal of Integrated Computer Aided Engineering
                             - Special Issue on

         Engineering and Industrial Applications of Machine Learning

                               Guest Editors:

                      Robert Engels and Floor Verdenius

Introduction

A special issue of the ICAE will be published that is concerned with the
engineering and industrial applications of machine learning techniques. We
aim at making this special a high quality sample of ongoing research that is
concerned with the application of machine learning techniques, including,
but not limited to, techniques from statistics, machne learning,
connectionisme, genetic and evolutionary learning, case based reasoning and
reinforcement learning. An increasing number of companies and institutes
work with learning techniques, for instance in planning, scheduling, quality
control, data mining and knowledge discovery in databases, process modelling
and so on. This special issue intends to report high quality application
oriented research going on in these fields. This hypothesis is also
supported at the last workshops and conferences that are organized and had
contributions in this direction (among others: ICML-95, ICML-97, PADD-97,
PKDD-97, forthcoming: AAAI-98 workshop, ECML-98 and IEA/AIE-98). Research
presented at such workshops as well as conferences might also be considered
for publication. In order to make this special issue a success we look for
high quality submissions. Only unpublished original papers will be
considered for possible publication in the special issue. Submission of the
paper implies that the paper or no variation of it has been published or
currently being considered for publication elsewhere.

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Topics:

Topics that will be considered for publication are

   * development of algorithms and techniques with a thorough evaluation of
     their practical value and the implications of applying them in reality.
   * methodological issues concerning the application of learning techniques
     such as:
        o process definition of typical learning applications
        o methodologies for applying learning techniques
        o definition of interdependencies between several stages of
          application of learning techniques
   * the relevance of learning techniques for Computer Aided Engineering
   * solutions for real world problems in Computer Aided Engineering that
     make use of learning techniques and their embedment in the application
   * successtories from the industry might be published as short application
     contribution

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Submission deadline: October 1st, 1998
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Guidelines

Formatting Guidelines:

   * Major (original) contribution:
     Papers are limited to 35 double-spaced pages including figures and
     tables (roughly equivalent to 12 typeset pages).
   * State-of-the-art review article:
     Papers are limited to 35 double-spaced pages including figures and
     tables (roughly equivalent to 12 typeset pages).
   * Short contributions: Short papers are limited to 15 double-spaced pages
     (equivalent to 5 typeset pages).

It is strongly advised that potential authors take some time to become
familiar with the scope and format of the ICAE-journal.

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Submission address (also contact address for more information):

Robert Engels (Drs.)
Research Staff
Institute AIFB
University of Karlsruhe
D-76128 Karlsruhe
Germany

Tel: +49-721-608 6558
Fax: +49-721-693 717
Email: engels@aifb.uni-karlsruhe.de
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Review Committee (confirmed)

Pieter Adriaans (Syllogic BV, NL)
Carla E. Brodley (Purdue University, USA)
Bob Evans (RR Donnelley & Sons, TN, USA)
Michael Kaiser (ABB, Switzerland)
David Leake (Indiana University, USA)

Each submission will be reviewed by several members of this international
review committee.

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Relevant Links

Journal of Integrated Computer Aided Engineering

ICML-97 Workshop on ML-application in the real world; Methodological Aspects
and Implications

AAAI/ICML-98 Workshop on the Methodology of Applying Machine Learning