Title: Logical settings for concept-learning
Authors: De Raedt, Luc # ×
Issue Date: Aug-1997
Publisher: Elsevier science bv
Series Title: Artificial intelligence vol:95 issue:1 pages:187-201
Abstract: Three different formalizations of concept-learning in logic (as well as some variants) are analyzed and related. It is shown that learning from interpretations reduces to learning from entailment, which in rum reduces to learning from satisfiability. The implications of this result for inductive logic programming and computational learning theory are then discussed, and guidelines for choosing a problem-setting are formulated. (C) 1997 Elsevier Science B.V.
ISSN: 0004-3702
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Informatics Section
× corresponding author
# (joint) last author

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