EIGHTEENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE
August 11, 2003
This workshop will explore approaches to learning statistical models from relational data. The workshop will explore the foundations, advantages, and limitations of the surprising array of approaches that have been developed over the past decade. These include probabilistic relational models, stochastic logic programs, Bayesian logic programs, relational Bayesian networks, relational probability trees, first-order Bayesian classifiers, relational Markov models, block models and statistical relational models.
These techniques have been developed in several related, but different, subareas of artificial intelligence (reasoning under uncertainty, inductive logic programming, machine learning, and knowledge discovery and data mining) and in some areas outside of AI (e.g., databases and social network analysis). Most researchers only have exposure to one or two techniques, and no clear understanding of the relative advantages and limitations of different techniques has yet emerged. We believe this is an ideal time for a workshop that allows active researchers in this area to discuss and debate the methods and compare and contrast their merits.
The workshop schedule, papers, and other materials are available online at the SRL 2003 Website.
This one-day workshop will consist of interactive sessions that address specific topics identified by the organizing committee (see below) rather than consisting primarily of paper presentations. Each 60-90 minute session will begin with two or three short (10-minute) presentations intended to highlight positions on a specific topic (e.g., representing probabilities or incorporating background knowledge). Prior to the workshop, participants will have access to a variety of tutorial materials provided by both organizers and participants.
Potential topics include:
This workshop is intended for researchers in the areas of machine learning, knowledge discovery and data mining, information retrieval, link analysis, and social network analysis.
Participants are encouraged to submit position papers and research summaries (up to 8 pages in length) on recent and continuing research. To encourage participation but focus discussions on key topics, we also invite 2-page research synopses and position papers from participants who do not wish to submit full papers. In either case, we encourage authors to identify the discussion session under which their research/position falls.
Each submission shall be accompanied by a short statement (500 words) describing the participant's interests in the workshop topics.
Papers should be formatted according to IJCAI guidelines and should be submitted electronically in postscipt, PDF, or MS Word format via e-mail.
Workshop participation is by invitation only. However, individuals interested in attending the workshop should contact the organizers with a 1-3 paragraph description of their interest regardless of the date.
All submissions and requests should be sent to: firstname.lastname@example.org
Note: Participants are expected to register for the main IJCAI conference in addition to the workshop.
Important Dates and Deadlines
James Cussens, University of York, UK