Final CFP for Sixth AI and Statistics Workshop

[Padhraic Smyth]

Apologies to those of you who receive this more than once,
The deadline for 4-page abstracts is July 1, electronic submissions
are encouraged.

 Padhraic Smyth
 AIStats97 General Chair



                           Final Call For Papers

                      SIXTH INTERNATIONAL WORKSHOP ON
                  ARTIFICIAL INTELLIGENCE AND STATISTICS

                            January 4-7, 1997
                         Ft. Lauderdale, Florida

                 http://www.stat.washington.edu/aistats97/

PURPOSE:
This is the sixth in a series of workshops which has brought together
researchers in Artificial Intelligence (AI) and in Statistics to discuss
problems of mutual interest. The exchange has broadened research in both fields
and has strongly encouraged interdisciplinary work. Papers on all aspects of
the interface between AI & Statistics are encouraged.

FORMAT:
To encourage interaction and a broad exchange of ideas, the presentations will
be limited to about 20 discussion papers in single session meetings over three
days (Jan. 5-7). Focussed poster sessions will provide the means for presenting
and discussing the remaining research papers. Papers for poster sessions will
be treated equally with papers for presentation in publications.

Attendance at the workshop will *not* be limited.

The three days of research presentations will be preceded by a day of tutorials
(Jan. 4).  These are intended to expose researchers in each field to the
methodology used in the other field.  The tutorial speakers are A. P. Dawid
(University College London), Michael Jordan (MIT), Tom Mitchell (Carnegie
Mellon), and Mike West (Duke University).


TOPICS OF INTEREST:

        - automated data analysis and knowledge representation for
          statistics
        - statistical strategy
        - metadata and design of statistical data bases
        - multivariate graphical models, belief networks
        - causality
        - cluster analysis and unsupervised learning
        - predictive modeling: classification and regression
        - interpretability in modeling
        - model uncertainty, multiple models
        - probability and search
        - knowledge discovery in databases
        - integrated man-machine modeling methods
        - statistical methods in AI approaches to 
          vision, robotics, pattern recognition, software agents,
          planning, information retrieval, natural language processing, etc.
        - AI methods applied to problems in statistics such as
          statistical advisory systems, experimental design,
          exploratory data analysis, causal modeling, etc.

This list is not intended to define an exclusive list of topics
of interest. Authors are encouraged to submit papers on any topic
which falls within the intersection of AI and Statistics.

SUBMISSION REQUIREMENTS:

Three copies of an extended abstract (up to 4 pages) should be sent to

  David Madigan, Program Chair
  6th International Workshop on AI and Statistics
  Department of Statistics, Box 354322
  University of Washington
  Seattle, WA 98195

or electronically (postscript or latex preferred) to

           aistats at stat.washington.edu

Submissions for will be considered if *postmarked* by June 30, 1996.
If the submission is electronic (e-mail), then it must be *received*
by midnight July 1, 1996.

Please indicate which topic(s) your abstract addresses and include
an electronic mail address for correspondence. Receipt of all
submissions will be confirmed via electronic mail. Acceptance
notices will be mailed by September 1, 1996. Preliminary papers (up
to 20 pages) must be returned by November 1, 1996. These preliminary
papers will be copied and distributed at the workshop.

PROGRAM COMMITTEE:
General Chair:    P. Smyth              UC Irvine and JPL
Program Chair:    D. Madigan            U. Washington

Members:

     Russell Almond, ETS, Princeton
     Wray Buntine, Thinkbank, Inc.
     Peter Cheeseman, NASA Ames
     Paul Cohen, University of Massachusetts
     Greg Cooper, University of Pittsburgh
     Bill DuMouchel, Columbia University
     Doug Fisher, Vanderbilt University
     Dan Geiger, Technion
     Clark Glymour, Carnegie-Mellon University
     David Hand, Open University, UK
     Steve Hanks, University of Washington
     Trevor Hastie, Stanford University
     David Haussler, UC Santa Cruz
     David Heckerman, Microsoft
     Paula Hietala, University of Tampere, Finland
     Geoff Hinton, University of Toronto
     Mike Jordan, MIT
     Hans Lenz, Free University of Berlin, Germany
     David Lewis, AT&T Bell Labs
     Andrew Moore, Carnegie-Mellon University
     Radford Neal, University of Toronto
     Jonathan Oliver, Monash University, Australia
     Steve Omohundro, NEC Research, Princeton
     Judea Pearl, UCLA
     Daryl Pregibon, AT&T Bell Labs
     Ross Shachter, Stanford University
     Glenn Shafer, Rutgers University
     Prakash Shenoy, University of Kansas
     David Spiegelhalter, MRC, Cambridge, UK
     Peter Spirtes, Carnegie-Mellon University

MORE INFORMATION:
For more information see the workshop's Web page:
   http://www.stat.washington.edu/aistats97/
or write David Madigan at aistats at stat.washington.edu for
inquiries concerning the technical program or Padhraic Smyth
at aistats at jpl.nasa.gov for other inquiries about the workshop.

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