UAI-2000: The Sixteenth Conference on Uncertainty in
Artificial Intelligence
Stanford University, Stanford, CA
June 30 - July 3, 2000
*** THURSDAY MAY 25 IS THE LAST DAY TO APPLY ***
*** FOR A STUDENT TRAVEL GRANT TO UAI 2000 ***
*** YOU MUST PAY YOUR REGISTRATION FEE BY ***
*** THURSDAY JUNE 1 TO GET THE EARLYBIRD RATE ***
As we approach the new millenium, advances in the theory and practice
of artificial intelligence have pushed intelligent systems to the
forefront of the information technology sector. At the same time,
uncertainty managament has come to play a central role in the
development of these systems. The Conference on Uncertainty in
Artificial intelligence, organized annually under the auspices of the
Association for Uncertainty in AI (AUAI), is the premier
international forum for exchanging results on the use of principled
uncertain-reasoning methods in intelligent systems.
The Sixteenth Conference on Uncertainty in Artificial, UAI-2000, will
be held from June 30 - July 3, 2000, at Stanford University. The main
technical program will be run from July 1-3, with UAI's regular
tutorial program and several workshops to be held on June 30. As in
1998 in Madison, WI, this year the conference will be co-located with
the International Conference on Machine Learning and the Conference
on Computational Learning theory.
Registrants to any of COLT, ICML, or UAI will be allowed to attend,
without additional cost, the technical sessions of the other two
conferences, and to purchase proceedings of the other conferences at
a substantial discount.
Information about the conference can be found at
http://www.cs.toronto.edu/uai2000/
REGISTRATION
------------
Please check the UAI-2000 home page at
http://www.cs.toronto.edu/uai2000/
to register and to obtain updates on conference details. The
registration site can also be reached directly at
http://cmt.research.microsoft.com/uai/registration/
Register before June 1 to take advantage of the earlybird rate.
PROGRAM
-------
The following Invited Speakers will offer plenary talks on cutting-edge
topics:
* Professor Aaron Bobick, Media Laboratory, Massachusetts Inst. of Technology
* Professor David Botstein, Department of Genetics, Stanford University
* Professor Andrew Moore, School of Computer Science, Carnegie Mellon
University
We are pleased to offer seventy-five high quality, peer-reviewed
papers at our plenary and poster sessions. Please see the conference
home page for a list of accepted papers and a conference program.
TUTORIAL PROGRAM
----------------
We continue this year with the long-standing, UAI full-day tutorial
program on Friday, June 30. This year we will be offering four
tutorials, including one jointly with COLT-2000. Tutorials on the
following topics will be offered:
* Possibility Theory: A Tool for Handling Incomplete Information
and Preference, Didier Dubois, IRIT
* Probabilistic Network Models (precise title TBA),
Ross Shachter, Stanford Univeristy
* Learning Bayesian Networks From Data, David Heckerman,
Microsoft Research
* An Introduction to Support Vector Machines and Other Kernel-based
Learning Methods, John Shawe-Taylor, Nello Cristianini, University
of London (joint tutorial with COLT-2000)
For details, please see the conference homepage.
AFFILIATED WORKSHOPS
--------------------
Three workshops will be held in conjunction with UAI-2000, on June 30, 2000.
* Workshop on Fusion of Domain Knowledge with Data for Decision Support
* Workshop on Probabilistic Models in Computational Molecular Biology
* Workshop -- Beyond MDPs: Representations and Algorithms
For detailed information, please see The UAI-2000 Workshops Page at
http://www.cs.toronto.edu/uai2000/workshops.html
UAI-2000 SPONSORS
-----------------
UAI-2000 is extremely grateful for the assistance provided by the
following sponsors:
Microsoft Research Rockwell Science Center
Hugin Expert Peakstone
HP Laboratories IET
Norsys Software AT&T Labs
-- +=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+Kathryn Blackmond Laskey General Chair, UAI '00 http://www.cs.toronto.edu/uai2000/
Department of Systems Engineering (703) 993-1644 (voice) and Operations Research (703) 993-1521 (fax) Mail Stop 4A5 klaskey@gmu.edu George Mason University http://www.ite.gmu.edu/~klaskey/ Fairfax, VA 22030
Experience without theory is blind, but theory without experience is mere intellectual play. -Immanuel Kant
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