Difference between revisions of "MAXENT 2009"

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  | Acronym = MAXENT 2009
 
  | Acronym = MAXENT 2009
 
  | Title = International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
 
  | Title = International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
  | Type = Conference
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  | Type = Workshop
  | Field = Machine learning
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  | Field = Statistics
 
  | Homepage = www.olemiss.edu/conf/maxent2009/
 
  | Homepage = www.olemiss.edu/conf/maxent2009/
 
  | Start date = Jul 5, 2009  
 
  | Start date = Jul 5, 2009  
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For more than 25 years the MaxEnt workshops have explored the use of Bayesian and Maximum Entropy methods in scientific and engineering applications.  
 
For more than 25 years the MaxEnt workshops have explored the use of Bayesian and Maximum Entropy methods in scientific and engineering applications.  
  
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Abstracts (one page of about 400 words) of the proposed papers should be submitted via this Web site by April 3, 2009.
 
Abstracts (one page of about 400 words) of the proposed papers should be submitted via this Web site by April 3, 2009.
</pre>This CfP was obtained from [http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=3858&amp;copyownerid=2 WikiCFP]
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[[Category:Machine learning]]

Latest revision as of 19:00, 1 April 2022

MAXENT 2009
International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Dates Jul 5, 2009 (iCal) - Jul 10, 2009
Homepage: www.olemiss.edu/conf/maxent2009/
Location
Location: Oxford, MS, USA
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Important dates
Submissions: Apr 3, 2009
Table of Contents



For more than 25 years the MaxEnt workshops have explored the use of Bayesian and Maximum Entropy methods in scientific and engineering applications.

All aspects of probabilistic inference, such as techniques, applications and foundations, are of interest. With the rapid growth of computing power, computational techniques such as Markov chain Monte Carlo sampling are of great interest, as are approximate inferential methods. Application areas include, but are not limited to, astronomy and astrophysics, genetics, geophysics, medical imaging, material science, nanoscience, source separation, particle physics, quantum mechanics, plasma physics, chemistry, earth science, climate studies, engineering and robotics. Foundational issues involving probability theory and information theory, and inference and inquiry are also of keen interest as there are yet many open questions.

The workshop includes a one-day tutorial session, state-of-the-art lectures, invited papers, contributed papers and poster presentations. Selected papers by the program committee will be edited and published in a book. All the papers will be in English. Contributed papers related to the above topics are being solicited. Especially encouraged are papers whose content is novel, either as to approach or area of application.

Abstracts (one page of about 400 words) of the proposed papers should be submitted via this Web site by April 3, 2009.