SRL2006: Open Problems in Statistical Relational Learning
Call For Papers
Pointers
Papers
Software
Data
Contact
Information
Information
Mailing List
============================================================
OPEN PROBLEMS IN STATISTICAL RELATIONAL LEARNING
Workshop at ICML 2006 in Pittsburgh, Pennsylvania, USA
Thursday, June 29, 2006
Workshop web page: http://www.cs.umd.edu/projects/srl2006
Submission deadline: Friday, April 28, 2006
============================================================
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 SRLcommunity 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.
We are exploring possibilities for joint sessions with two related workshops occurring at this year's ICML, on "Learning in Structured Output Spaces" and "Statistical Network Analysis: Models, Issues and New Directions".
We invite submissions from interested researchers. Submissions may be 6-to-8-page technical papers on recent advances in the theory or application of SRL, particularly those that highlight still-open problems. Potential participants may also submit 2-page position papers on open problems. Depending on the number of submissions received, accepted papers may be presented orally or as posters. Accepted papers will also be published in online proceedings.
Because the workshop will emphasize discussion, we also invite brief proposals for topics of discussion sessions at the workshop.
For more information, please see:
http://www.cs.umd.edu/projects/srl2006
IMPORTANT DATES
Submissions due: Friday, April 28
Author notification: Monday, May 22
Final versions due: Monday, June 12
Workshop: Thursday, June 29
SUBMISSION INSTRUCTIONS
Papers should be in the ICML style described by the files at:
http://www.icml2006.org/icml2006/templates.html
Please send submissions by email to srl2006@cs.umd.edu.
ORGANIZERS
Alan Fern, Oregon State University, USA
Lise Getoor, University of Maryland, College Park, USA
Brian Milch, University of California, Berkeley, USA
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-Universitat, Germany
Tom Dietterich, Oregon State University, USA
Pedro Domingos, University of Washington, USA
David Heckerman, Microsoft Research, USA
Manfred Jaeger, Aalborg University, Denmark
David Jensen, University of Massachusetts, Amherst, USA
Kristian Kersting, Albert-Ludwigs-Universitat, Germany
Bhaskara Marthi, University of California, Berkeley, USA
Andrew McCallum, University of Massachusetts, Amherst, USA
Ray Mooney, University of Texas, Austin, USA
Stephen Muggleton, Imperial College London, UK
Jennifer Neville, University of Massachusetts, Amherst, USA
Hanna Pasula, University of Washington, USA
Claudia Perlich, IBM T. J. Watson Research Center, USA
Foster Provost, New York University, USA
Matthew Richardson, Microsoft Research, USA
Dan Roth, University of Illinois, Urbana-Champaign, USA
Stuart Russell, University of California, Berkeley, USA
Taisuke Sato, Tokyo Institute of Technology, Japan
Prasad Tadepalli , Oregon State University, USA
Ben Taskar, University of California, Berkeley, USA
Lyle Ungar, University of Pennsylvania, USA