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From: ml90@cs.utexas.edu (B. Porter and R. Mooney)
Newsgroups: comp.ai,comp.ai.neural-nets
Subject: 1990 Machine Learning Conference -- Call for Papers
Message-ID: <443@ai.cs.utexas.edu>
Date: 21 Sep 89 18:49:44 GMT
Followup-To: ml90@cs.utexas.edu
Organization: U. Texas CS Dept., Austin, Texas
Lines: 57



                 SEVENTH INTERNATIONAL CONFERENCE ON MACHINE
                          LEARNING: CALL FOR PAPERS


     The Seventh International Conference on Machine Learning   will  be
     held  at  the  University  of Texas in  Austin during June  21--23,
     1990.  Its goal is   to  bring  together   researchers   from   all
     areas   of  machine  learning.   The   conference    will   include
     presentations   of refereed papers,  invited  talks,   and   poster
     sessions.   The   deadline    for  submitting papers is February 1,
     1990.

                               REVIEW CRITERIA

     In order  to ensure  high   quality papers, each   submission  will
     be  reviewed   by   two  members    of   the  program committee and
     judged  on clarity,  significance,    and  originality.   All  sub-
     missions  should contain new work, new results, or major extensions
     to prior work.   If the  paper  describes  a  running   system,  it
     should explain that system's representation of  inputs and outputs,
     its performance component, its learning  methods,  and  its evalua-
     tion.    In    addition to  reporting advances in current areas  of
     machine learning, authors  are  encouraged  to  report  results  on
     exploring novel learning tasks.


                            SUBMISSION OF PAPERS

     Each  paper must  have a cover   page  with  the  title,   author's
     names,  primary   author's  address  and  telephone number,  and an
     abstract of about 200 words. The  cover  page   should  also   give
     three  keywords  that  describe  the research. Examples of keywords
     include:

     PROBLEM AREA             GENERAL APPROACH       EVALUATION CRITERIA

     Concept learning         Genetic algorithms     Empirical evaluation
     Learning and planning    Empirical methods      Theoretical analysis
     Language learning        Explanation-based      Psychological validity
     Learning and design      Connectionist
     Machine discovery        Analogical reasoning

     Papers are  limited  to 12 double-spaced  pages (including  figures
     and  references),  formatted  with   twelve  point font.    Authors
     will be notified of  acceptance  by  Friday,  March  23,  1990  and
     camera-ready copy is due by April 23, 1990.


     Send papers (3 copies) to:         For information, please contact:

     Machine Learning Conference        Bruce Porter or Raymond Mooney
     Department of Computer Sciences    ml90@cs.utexas.edu
     Taylor Hall 2.124                  (512) 471-7316
     University of Texas at Austin
     Austin, Texas 78712-1188