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SRL2006: Open Problems in Statistical Relational Learning

ICML 2006 Workshop

Thursday June 29, 2006

Call For Papers

Important Dates
Apr 28 Submissions Due
May 22 Author Notification
June 12 Final Papers Due
June 29 Workshop




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Statistical relational learning (SRL) addresses the challenge of applying statistical inference to problems which involve rich collections of objects linked together in complex relational networks. The last decade of SRL research has explored many different ways to combine statistical and relational models. We now have a much improved understanding of the strengths and weaknesses of various SRL representation languages, and have software systems for learning both model structure and parameters. The goal of this workshop is to look forward to the next five years of SRL research. What are the open problems and challenges? Some new problems have become clear through practical experience; other problems were hinted at in early SRL work and still seem daunting today. With the shared vocabulary and experience that the SRL community has developed, we expect be able to formulate the important research problems much more precisely than we could five or ten years ago. Because our goal is to look forward, the bulk of the workshop will be organized into open problem sessions with focused discussion and contributed presentations.

Workshop Co-chairs

Alan Fern Oregon State University
Lise Getoor University of Maryland, College Park
Brian Milch University of California, Berkeley

Program Committee

Mikhail Bilenko University of Texas, Austin, USA
Hendrik Blockeel Katholieke Universiteit Leuven, Belgium
James Cussens University of York, UK
Luc De Raedt Albert-Ludwigs-University, Germany
Tom Dietterich Oregon State University
Pedro Domingos University of Washington, USA
David Heckerman Microsoft, USA
Manfred Jaeger Aalborg University, Denmark
David Jensen University of Massachusetts, Amherst, USA
Bhaskara Marthi University of California, Berkeley, USA
Andrew McCallum University of Massachusetts, Amherst, USA
Ray Mooney Univerisity of Texas, Austin, USA
Stephen Muggleton Imperial College, UK
Jennifer Neville University of Massachusetts, Amherst, USA
Hanna Pasula University of Washington, USA
Claudia Perlich IBM T.J. Watson Research Center
Foster Provost NYU, USA
Mathew Richardson Microsoft, USA
Dan Roth University of Illinois, Urbana-Champaign, USA
Stuart Russell University of California, Berkeley, USA
Taisuke Sato Tokyo Institute of Technology, Japan
Ben Taskar Stanford University, USA
Lyle Ungar University of Pennsylvania, USA