30th International Workshop on Bayesian Inference and Maximun Entropy Methods in Science and Engineering Chamonix, France, July 4-9, 2010 http://maxent2010.inrialpes.fr/ For 30 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. 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. 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 11, 2010 (midnight, GMT). List of provisional topics and organizers: -------------------------------------------------------------- History and axiomatic foundation of probability and Information theory (K.H. Knuth, A. Caticha, J. Skilling, ...) Bayesian inference in astronomy and astrophsics (T. Loredo, S. Gull, ...) Information geometry and information theory (F. Barbaresco, H. Snoussi, P. Gibilisco, C. Rodriguez, ) Algorithms for Bayesian computation. (A. Quinn, R. Fischer, ...) Bayesian Computed Tomography: medical imaging (Ch. Bouman, K. Sauer, E. Miller, J.M. Lina, ...) Non parametric Bayesian methods and experimental design (F. Bac, M. Jordan, Z. Ghahramani, E. Barat, ...) Bayesian classification, clustering, pattern recognition, image segmentation (J. Center, M. Jordan, ...) Time series, spectral estimation. deconvolution and source separation. (P.O. Amblard, Ch. Jutten, ...) Information theory and quantum tomography. (Ch. Benjaballah, C. Caves, A. Vourdas, ...) Bayesian and maximum entropy inference in action: Industrial applications (E. Mazer, P. Cheesman, J. Skilling, M. Modares, ...) Non-Extensive Statistics (C. Tsallis, J.S. Dehesa, ...) Bayesian Cognitive and Neuroscience (P.O. Amblard, Pierre Bessière ...) Bayesian Robotics (K.H. Knuth, P. Bessière, ...) _______________________________ Dr Pierre Bessière - CNRS ***************************** LIG Lab INRIA 655 avenue de l'Europe 38334 Montbonnot FRANCE Mail: pierre.bessi...@imag.fr Tel: +33 4 76 61 55 09 Skype: Pierre.Bessiere _______________________________  |
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