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OverviewThis 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. Full Product DetailsAuthor: Hendrik Blockeel , Jan Ramon , Jude ShavlikPublisher: Springer Imprint: Springer Dimensions: Width: 23.40cm , Height: 1.80cm , Length: 15.60cm Weight: 0.458kg ISBN: 9783540847694ISBN 10: 3540847693 Pages: 328 Publication Date: 04 September 2008 Audience: General/trade , General Format: Undefined Publisher's Status: Unknown Availability: Out of stock ![]() Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |