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From: dpage@comlab.ox.ac.uk (David Page)
Subject: Machine Learning Journal special issue on Inductive Logic Programming 
Message-ID: <1995May11.075759.15338@scye.comlab.ox.ac.uk>
Originator: dpage@scye.comlab
Organization: Oxford University Computing Laboratory, UK
Date: Thu, 11 May 1995 07:57:59 GMT
Lines: 68


        **********************************************************
                              CALL FOR PAPERS
        **********************************************************


                Special Issue: INDUCTIVE LOGIC PROGRAMMING


                         MACHINE LEARNING JOURNAL


                Edited by Stephen Muggleton and David Page
                  Oxford University Computing Laboratory


     Inductive Logic Programming (ILP)  is  a  growing  research  area
     spawned  by Machine Learning and Logic Programming. While the in-
     fluence of Logic Programming has encouraged  the  development  of
     strong  theoretical  foundations,  the new area has inherited its
     experimental orientation from Machine Learning.  Already ILP  has
     been  applied  successfully to a variety of complex problems, in-
     cluding structure-activity and mutagenicity prediction of pharma-
     ceutical   chemicals,   protein  secondary-structure  prediction,
     finite-element mesh design, and optimal play in  chess  endgames.
     For this special issue we encourage submission of papers describ-
     ing novel ILP algorithms, experimental applications, or theoreti-
     cal results.


                  Submission deadline: September 15, 1995


      It is the editors' intention to publish the special issue as a
                               book as well.


     Papers should be double spaced  and  8,000  to  12,000  words  in
     length,  with full-page figures counting for 400 words.  All sub-
     missions will be subject to the standard review procedure.


     Send three (3) copies of submissions to:

     David Page                                Phone: +44-1865-283-520
     Oxford University Computing Lab             Fax: +44-1865-273-839
     Wolfson Building                       David.Page@comlab.ox.ac.uk
     Parks Road
     Oxford, OX1 3QD
     U. K.

     Also mail five (5) copies of submitted papers to:

     Karen Cullen                                Phone: (617) 871-6300
     MACHINE LEARNING Editorial Office             karen@world.std.com
     Kluwer Academic Publishers
     101 Philip Drive
     Norwell, MA 02061
     U. S. A.

     Note: Machine Learning is now accepting submission of final  copy
     in  electronic  form.   A  latex style file and related files are
     available  via  anonymous  ftp   from   ftp.std.com.    Look   in
     Kluwer/styles/journals   for   the   files   README,  smjrnl.doc,
     smjrnl.sty, smjsamp.tex,  smjtmpl.tex,  or  smjstyles.tar  (which
     contains them all).


