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From: jair-ed@ptolemy.arc.nasa.gov
Subject: New Article, Rerepresenting and Restructuring Domain Theories...
Message-ID: <1995Apr26.004443.24831@ptolemy-ethernet.arc.nasa.gov>
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Date: Wed, 26 Apr 1995 00:44:43 GMT
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JAIR is pleased to announce the publication of the following article:

Donoho, S.K. and Rendell, L.A. (1995)
  "Rerepresenting and Restructuring Domain Theories:  A Constructive 
   Induction Approach", Volume 2, pages 411-446.
   PostScript: volume2/donoho95a.ps (501K)
               compressed, volume2/donoho95a.ps.Z (179K)	
   Online Appendix: volume2/donoho94a-appendix.tar.Z (150K), source code & data

   Abstract: Theory revision integrates inductive learning and background
   knowledge by combining training examples with a coarse domain theory
   to produce a more accurate theory.  There are two challenges that
   theory revision and other theory-guided systems face.  First, a
   representation language appropriate for the initial theory may be
   inappropriate for an improved theory.  While the original
   representation may concisely express the initial theory, a more
   accurate theory forced to use that same representation may be bulky,
   cumbersome, and difficult to reach.  Second, a theory structure
   suitable for a coarse domain theory may be insufficient for a
   fine-tuned theory.  Systems that produce only small, local changes to
   a theory have limited value for accomplishing complex structural
   alterations that may be required.
   
   Consequently, advanced theory-guided learning systems require flexible 
   representation and flexible structure.  An analysis of various theory 
   revision systems and theory-guided learning systems reveals specific 
   strengths and weaknesses in terms of these two desired properties.  
   Designed to capture the underlying qualities of each system, a new 
   system uses theory-guided constructive induction.  Experiments in 
   three domains show improvement over previous theory-guided systems.  
   This leads to a study of the behavior, limitations, and potential of 
   theory-guided constructive induction.

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