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Mind Change Complexity of Learning Logic Programs
[chapter]
1999
Lecture Notes in Computer Science
The present paper motivates the study of mind change complexity for learning minimal models of length-bounded logic programs. It establishes ordinal mind change complexity bounds for learnability of these classes both from positive facts and from positive and negative facts. Preprint submitted to Elsevier Science 1 The learnability analysis of ILP in the learning by query model is able to overcome some of the restrictive nature of the PAC model by allowing the learner queries to an oracle. For
doi:10.1007/3-540-49097-3_16
fatcat:qc3kyoumirhnbcf5w4wjojiwvu