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Title: Inductive Logic Programming, 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers
Editors: Blockeel, Hendrik
Ramon, Jan
Shavlik, Jude
Tadepalli, Prasad
Issue Date: 2008
Publisher: Springer
Series Title: Lecture Notes in Computer Science vol:4894
Conference: Inductive Logic Programming edition:17 location:Corvallis, OR, USA date:19-21 June 2007
Abstract: This book constitutes the thoroughly refereed post-conference proceedings of the 17th International Conference on Inductive Logic Programming, ILP 2007, held in Corvallis, OR, USA, in June 2007 in conjunction with ICML 2007, the International Conference on Machine Learning.

The 15 revised full papers and 11 revised short papers presented together with 2 invited lectures were carefully reviewed and selected from 38 initial submissions. The papers present original results on all aspects of learning in logic, as well as multi-relational learning and data mining, statistical relational learning, graph and tree mining, relational reinforcement learning, and learning in other non-propositional knowledge representation frameworks. Thus all current topics in inductive logic programming, ranging from theoretical and methodological issues to advanced applications in various areas are covered.
URI: 
ISBN: 978-3-540-78468-5
ISSN: 0302-9743
Publication status: published
KU Leuven publication type: IBe
Appears in Collections:Informatics Section

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