Symbolic Knowledge and Neural Learning: MLj Special Issue CFP

[Jude Shavlik]

	                CALL FOR PAPERS

       for a Special Issue of the Journal MACHINE LEARNING on

             SYMBOLIC KNOWLEDGE AND NEURAL LEARNING

            (edited by C. L. Giles and J. W. Shavlik)

This special issue will focus on novel and effective methods for acquiring and
refining symbolic knowledge with neural learning.  Particular topics of
interest include insertion of prior knowledge into neural networks,
alterations to standard neural training that are appropriate for the
refinement of symbolic knowledge, and understanding trained neural networks.


Submission deadline: November 1, 1993
(See a recent issue of Machine Learning for information for authors.)

Send two (2) copies of submissions to:

	Jude Shavlik
	Computer Sciences Dept
	University of Wisconsin
	1210 W. Dayton Street
	Madison, WI  53706  USA

	(608) 262-7784
	shavlik at cs.wisc.edu

Also mail four (4) copies of submitted papers to:

	Karen Cullen
	MACHINE LEARNING Editorial Office
	Kluwer Academic Publishers
	101 Philip Drive
	Norwell, MA 02061  USA

	(617) 871-6300
	karen at world.std.com

	
Note: Machine Learning is now accepting submission of final copy in electronic
form.  There is a latex style file and related files available via anonymous
ftp from world.std.com.  Look in Kluwer/styles/journals for the files
machl.sty, machl.doc, jpsfonts.sty, joursamp.tex, and jourtmpl.tex.