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UAI 2015 : UAI 2015: 31st Conference on Uncertainty in Artificial Intelligence

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Conference Series : Uncertainty in Artificial Intelligence
 
 
When Jul 12, 2015 - Jul 16, 2015
Where Amsterdam, The Netherlands
Submission Deadline Mar 3, 2015
Notification Due May 5, 2015
 

Call For Papers

The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conference on research related to knowledge representation, learning, and reasoning in the presence of uncertainty. UAI 2015 will be held in
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Amsterdam, The Netherlands, on July 12-16, 2015.
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The main conference will take place on July 13-15, with tutorials on July 12 and workshops (tentative) on July 16. The conference will be located immediately after the ICML conference, to be held July 6-11, 2015 in Lille, France. Traveling between Lille and Amsterdam takes about 2.5 hours by train.

We solicit submission of papers which describe novel theories, methodology and applications related to knowledge representation, learning, and reasoning under uncertainty. We welcome submissions by authors who are new to the UAI conference, or on new and emerging topics. We encourage submissions on applications, especially those that inspire new methodologies or novel combinations of existing methodologies.

Submitted papers will be reviewed based on their novelty, technical quality, potential impact and clarity of writing. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and repeatable. Submissions that mark "applications" as the primary subject area will be reviewed according to appropriate criteria and by reviewers with appropriate backgrounds.

Important dates for authors
March 3, 2015: Paper submission deadline
April 20-23, 2015: Author feedback about initial reviews
May 5, 2015: Author notification

Papers that are currently under review or have already been accepted or published in a refereed venue, including conferences and journals, may not be submitted. Authors are strongly encouraged to make data and code publicly available when possible.

Tom Heskes and Marina Meila
UAI 2015 Program Chairs

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