posted by user: kknuth || 1496 views || tracked by 6 users: [display]

MaxEnt 2015 : 35th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

FacebookTwitterLinkedInGoogle

Link: http://web2.clarkson.edu/projects/inference/maxent2015/
 
When Jul 19, 2015 - Jul 24, 2015
Where Clarkson University, Potsdam, NY, USA
Submission Deadline Jun 1, 2015
Notification Due Jun 5, 2015
Final Version Due Jul 14, 2015
Categories    bayesian statistics   maximum entropy   data analysis   machine learning
 

Call For Papers

For 35 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, invited talks and papers, contributed papers and poster presentations. 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). Selected papers by the program committee will be edited and published in a book. All the papers will be in English.

Related Resources

EMNLP 2017   Conference on Empirical Methods in Natural Language Processing
ECML-PKDD 2017   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
ACML 2017   The 9th Asian Conference on Machine Learning
EMNLP 2017   Empirical Methods in Natural Language Processing
NIPS 2017   The Thirty-first Annual Conference on Neural Information Processing Systems
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
ICFEM 2017   19th International Conference on Formal Engineering Methods
ICONIP 2017   International Conference on Neural Information Processing
LearnAut 2017   Learning and Automata - LICS 2017 Workshop
TextGraphs 2017   TextGraphs-11: Graph-based Methods for Natural Language Processing