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From: jair-ed@ptolemy.arc.nasa.gov
Subject: New Article, OPUS: An Efficient Admissible ...
Message-ID: <1995Dec21.022239.22192@ptolemy-ethernet.arc.nasa.gov>
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Date: Thu, 21 Dec 1995 02:22:39 GMT
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JAIR is pleased to announce the publication of the following article:

Webb, G.I. (1995)
  "OPUS: An Efficient Admissible Algorithm for Unordered Search", 
   Volume 3, pages 431-465.
   PostScript: volume3/webb95a.ps (1503K)
	       compressed, volume3/webb95a.ps.Z (769K)


   Abstract: OPUS is a branch and bound search algorithm that enables
   efficient admissible search through spaces for which the order of
   search operator application is not significant.  The algorithm's
   search efficiency is demonstrated with respect to very large machine
   learning search spaces.  The use of admissible search is of potential
   value to the machine learning community as it means that the exact
   learning biases to be employed for complex learning tasks can be
   precisely specified and manipulated.  OPUS also has potential for
   application in other areas of artificial intelligence, notably, truth
   maintenance.

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