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Finding accurate frontiers: A knowledge-intensive approach to relational learningAn approach to analytic learning is described that searches for accurate entailments of a Horn Clause domain theory. A hill-climbing search, guided by an information based evaluation function, is performed by applying a set of operators that derive frontiers from domain theories. The analytic learning system is one component of a multi-strategy relational learning system. We compare the accuracy of concepts learned with this analytic strategy to concepts learned with an analytic strategy that operationalizes the domain theory.
Document ID
Document Type
Conference Paper
Pazzani, Michael
(California Univ. Irvine, CA, United States)
Brunk, Clifford
(California Univ. Irvine, CA, United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1994
Publication Information
Publication: NASA. Johnson Space Center, The Seventh Annual Workshop on Space Operations Applications and Research (SOAR 1993), Volume 1
Subject Category
Behavioral Sciences
Accession Number
Distribution Limits
Work of the US Gov. Public Use Permitted.
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