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Inductive Logic Programming - 19th International Conference, ILP 2009, Leuven, Belgium, July 2-4, 2010, Revised Papers (Paperback, 2010 ed.)
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Inductive Logic Programming - 19th International Conference, ILP 2009, Leuven, Belgium, July 2-4, 2010, Revised Papers (Paperback, 2010 ed.)
Series: Lecture Notes in Artificial Intelligence, 5989
Expected to ship within 18 - 22 working days
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The ILP conference series has been the premier forum for work on
logic-based approaches to machine learning for almost two decades.
The 19th International Conference on Inductive Logic Programming,
which was organized in Leuven, July2-4,2009,
continuedthistraditionbutalsoreachedouttoothercommunities as it was
colocated with SRL-2009 - the International Workshop on Statistical
RelationalLearning, andMLG-2009-the7thInternationalWorkshoponMining
andLearningwithGraphs. While
thesethreeseriesofeventseachhavetheirown focus, emphasis
andtradition, they essentiallysharethe problemthatis studied:
learning about structured data in the form of graphs, relational
descriptions or logic. The colocation of the events was intended to
increase the interaction between the three communities. There was a
single program with joint invited and tutorial speakers, a panel,
regular talks and poster sessions. The invited speakers and
tutorial speakers were James Cussens, Jason Eisner, Jure Leskovec,
Raymond Mooney, Scott Sanner, and Philip Yu. The panel featured
Karsten Borgwardt, Luc De Raedt, Pedro Domingos, Paolo Frasconi,
Thomas Gart ] ner, Kristian Kersting, Stephen Muggleton, and C.
David Page. Video-recordings of these talks can be found atwww.
videolectures. net. The overall program featured 30 talks presented
in two parallel tracks and 53 posters. The talks and posters were
selected on the basis of an extended abstract. These abstracts can
be found at http: // dtai. cs. kuleuven. be/ilp-mlg-srl/.
Inaddition, asinpreviousyears, a-
lectionofthepapersofILP2009havebeenpublishedinavolumeintheLectures
Notes in Arti?cial Intelligence
seriesandinaspecialissueoftheMachine Lea- ing Jou
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