Pazzani, M. & Brunk, C. (1993). Finding Accurate Frontiers: A
 Knowledge-Intensive Approach to Relational Learning.  The
 National Conference on Artificial Intelligence  (pp. 328-334).
 Washington, D.C: AAAI Press.
 An 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.