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From: minton@ptolemy.arc.nasa.gov
Subject: New Article, Induction of Oblique Decision Trees
Message-ID: <1994Aug15.221827.21731@ptolemy-ethernet.arc.nasa.gov>
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Date: Mon, 15 Aug 1994 22:18:27 GMT
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JAIR is pleased to announce publication of the following article:

Murthy, S.K., Kasif, S. and Salzberg, S. (1994)
  "A System for Induction of Oblique Decision Trees", Volume 2, pages 1-32.
   Postscript: volume2/murthy94a.ps (475K)
   Online Appendix: volume2/murthy94a-appendix.tar.Z (297K), OC1 source code

   Abstract: This article describes a new system for induction of oblique
   decision trees.  This system, OC1, combines deterministic
   hill-climbing with two forms of randomization to find a good oblique
   split (in the form of a hyperplane) at each node of a decision tree.
   Oblique decision tree methods are tuned especially for domains in
   which the attributes are numeric, although they can be adapted to
   symbolic or mixed symbolic/numeric attributes.  We present extensive
   empirical studies, using both real and artificial data, that analyze
   OC1's ability to construct oblique trees that are smaller and more
   accurate than their axis-parallel counterparts.  We also examine the
   benefits of randomization for the construction of oblique decision trees.


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