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Markov models / Statistical models / Estimation theory / Graphical models / Bayesian network / Recursive Bayesian estimation / Particle filter / Hidden Markov model / Bayesian inference / Statistics / Probability and statistics / Bayesian statistics


Document Date: 2009-12-08 15:49:01


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San Francisco / Seattle / Montbonnot / New York / Paris / Oxford / Cambridge / Grenoble / /

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Neural Information Processing Systems / MIT Press / Clarendon Press / Bayesian Networks Bayesian Networks / Morgan Kaufmann Publishers Inc. / AAAI Press / N. Meuleau L. P. / Bayesian Networks / Bayesian Programs Prog Bayesian Maps Bayesian Networks / Dynamic Bayesian Networks / /

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France / Jordan / United States / /

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University of Virginia / National University of Singapore / Carnegie Mellon University / Prentice Hall / Chapel Hill / University of California / /

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robotic programming tool / Belief networks / everyday applications / iterative algorithms / artificial systems / simulation algorithms / on-line non-linear/nongaussian / closed form solution / independence networks / learning algorithm / dynamic probabilistic networks / /

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National University of Singapore / Institut National Polytechnique de Grenoble / MIT / Institute for Parallel Computation / University of California / Berkeley / Computational Intelligence / Computer Science Department / Department of Mechanical Engineering / University of Virginia / Carnegie Mellon University / /

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H. Ang Jr. / Joshua Alspector / Ai / Steve Hanks / Gerald Tesauro / Pierre Bessière / Morgan Kaufmann / Serafín Moral / Marco Gori / Map / Julien Diard / Emmanuel Mazer Laboratoire / /

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Dean / and C. Boutilier / Rt / model for reasoning about persistence and causation / model / Bishop / programmer / /

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Bayesian Programming / Altec XT1 Speakers / /

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Machine Learning / Journal of Artificial Intelligence Research / /

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Speech Recognition / Viterbi algorithm / Machine Learning / Stochastic simulation algorithms / artificial intelligence / Baum-Welch algorithm / specific learning algorithm / /

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