segre@ask.cs.cornell.edu (Alberto M. Segre) (11/01/90)
Call for Papers
IEEE Expert Special Track on Applications of Machine Learning
The goal of this series of articles to explore novel
applications of machine learning technology to real world
problems. Of special interest are papers which clearly illustrate
how machine learning techniques can be profitably used to solve
problems of interest to AI practitioners.
Machine learning research has enjoyed enormous growth since
the early 1970's. Much of the early work was directed towards
understanding and developing inductive learning algorithms for
concept formation. While the technology developed in this era has
been transferred to commercial applications (e.g., many expert
system tools now include modules for inductive learning of
classification rules), little has been said about applications of
more recent research results in concept formation, explanation-
based learning, clustering, or discovery learning.
Audience
IEEE Expert's charter is to try to transfer to the user
community ideas and tools that come out of research and
development; clear, not overly formal, writing is essential. Its
readers are users, developers, managers, researchers, and
purchasrs who are interest in databases, expert systems, and
artificial intelligence, with particular emphasis on
applications. They want to learn about the tools, techniques,
concepts, aids, and systems that have potential for real-world
applications.
Special Tracks
A special track is a collection of papers united by a theme;
it is just like a special issue except that the articles appear
over several issues. Other special tracks in progress cover AI
and object-oriented programming, AI applications in process
systems, functional modeling of devices, and connectionist
applications.
Submissions
All manuscripts submitted for publication should be
original. Articles published in other journals will not be
considered. Submissions should run 8 to 10 journal pages. For
full submission guidelines contact:
Alberto Maria Segre [segre@cs.cornell.edu]
Department of Computer Science
Cornell University
Upson Hall
Ithaca, NY 14853-7501
tel (607) 255-9196
fax (607) 255-4428