cfps.html

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title: Call for Papers
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<center>
<p><br><font color="#FF6666"><font size=+2>Extended submission deadline:
midnight July 10, 2000 (PST)</font></font></center>

<h3>

<hr WIDTH="100%"></h3>

<h3>
Call for papers</h3>
This is the eighth in a series of workshops which have 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 &amp; Statistics are encouraged.
<p>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). Focused 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.
<p>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 and techniques used in other related areas.
<p>The Eighth workshop especially encourages submissions related to the
following workshop themes in the interface between information retrieval
and statistics:
<menu>
<li>
Statistical natural language processing</li>

<li>
Game theory</li>

<li>
Missing information; unlabeled examples</li>

<li>
Error correcting codes</li>
</menu>
In addition, papers on all aspects of the interface between AI &amp; Statistics
are strongly encouraged, including but not limited to
<menu>
<li>
Automated data analysis</li>

<li>
Cluster analysis and unsupervised learning</li>

<li>
Statistical advisory systems, experimental design</li>

<li>
Integrated man-machine modeling methods</li>

<li>
Interpretability in modelling</li>

<li>
Knowledge discovery in databases</li>

<li>
Metadata and the design of statistical data bases</li>

<li>
Model uncertainty, multiple models</li>

<li>
Multivariate graphical models, belief networks, causal modeling</li>

<li>
Online analytic processing in statistics</li>

<li>
Pattern recognition</li>

<li>
Prediction: classification and regression</li>

<li>
Probabilistic neural networks</li>

<li>
Probability and search</li>

<li>
Statistical strategy</li>

<li>
Vision, robotics, natural language processing, speech recognition</li>

<li>
Visualization of very large datasets</li>
</menu>

<h4>
Submission Requirements:</h4>
Electronic submission of abstracts is required. The abstracts (up to 4
pages in length) should be submitted through the AI and Statistics Conference
Management page supported by Microsoft Research. More specific instructions
will be made available at&nbsp; <a href="http://cmt.research.microsoft.com/AISTATS2001/">http://cmt.research.microsoft.com/AISTATS2001/</a>
<p>In special circumstances other arrangements can be made to facilitate
submission. For more information about possible arrangements, please contact
the conference chairs.
<p>Submissions will be considered if they are received by midnight July
10, 2000 (PST). Please indicate the theme and/or the topic(s) your abstract addresses.
Receipt of all submissions will be confirmed via electronic mail. Acceptance
notices will be emailed by September 1, 2000.

<p><br><font color="#FF6666"><font size=+1>
Due to the original extension of the submission deadline, and 
technical problems that have been encountered, 
acceptance decisions will now be announced in early
October.</font></font></center>


<p>Preliminary papers (up to 12 pages, double column) must be received
by November 1, 2000. These preliminary papers will be copied and distributed
at the workshop.
<h4>
Program Chairs:</h4>
Thomas Richardson, University of Washington, <a href="mailto:tsr@stat.washington.edu">tsr@stat.washington.edu</a>
<br>Tommi Jaakkola, MIT, <a href="mailto:tommi@ai.mit.edu">tommi@ai.mit.edu</a>
<h4>
Program Committee:</h4>
Russell Almond, Educational Testing Service, Princeton
<br>Hagai Attias, Microsoft Research, Cambridge
<br>Yoshua Bengio, University of Montreal
<br>Max Chickering, Microsoft Research, Redmond
<br>Greg Cooper, University of Pittsburgh
<br>Robert Cowell, City University, London
<br>Phil Dawid, University College, London
<br>Vanessa Didelez, University of Munich
<br>David Dowe, Monash University
<br>Brendan Frey, University of Waterloo
<br>Nir Friedman, Hebrew University, Jerusalem
<br>Dan Geiger, Technion
<br>Edward George, University of Texas
<br>Paolo Giudici, University of Pavia
<br>Zoubin Ghahramani, University College, London
<br>Clark Glymour, Carnegie-Mellon University
<br>Moises Goldszmidt, Peakstone Corporation
<br>David Heckerman, Microsoft Research, Redmond
<br>Thomas Hofmann, Brown University
<br>Reimar Hofmann, Siemens
<br>Michael Jordan, University of California, Berkeley
<br>David Madigan, Soliloquy
<br>Chris Meek, Microsoft Research, Redmond
<br>Marina Meila, Carnegie-Mellon University
<br>Kevin Murphy, University of California, Berkeley
<br>Mahesan Niranjan, University of Sheffield
<br>John Platt, Microsoft Research, Redmond
<br>Greg Ridgeway, University of Washington
<br>Lawrence Saul, AT&amp;T Research
<br>Prakash Shenoy, University of Kansas
<br>Dale Schuurmans, University of Waterloo
<br>Padhraic Smyth, University of California, Irvine
<br>David Spiegelhalter, University of Cambridge
<br>Peter Spirtes, Carnegie-Mellon University
<br>Milan Studeny, Academy of Sciences, Czech Republic
<br>Michael Tipping, Microsoft Research, Cambridge
<br>Henry Tirri, University of Helsinki
<br>Volker Tresp, Siemens
<br>Chris Watkins, Royal Holloway and Bedford New College,
<br>Nanny Wermuth, University of Mainz
<br>Joe Whittaker, Lancaster University
<br>Chris Williams, University of Edinburgh