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Statistical field theory
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181	Doppler Institute: Activities in[removed]It became a habit to summarize our activities at the end of a calendar year. Below you will find a report on the fourth year of our existence. 1 Add to Reading List Source URL: gemma.ujf.cas.cz Language: English - Date: 2004-12-17 10:20:34 Quantum field theory Renormalization group Quantum group Physics Theoretical physics Statistical mechanics
182	List of citations, as of January[removed]Listing by cited work Add to Reading List Source URL: gemma.ujf.cas.cz Language: English - Date: 2015-01-15 02:19:32 Path integral formulation Richard Feynman Quantum mechanics Physics Statistical mechanics Quantum field theory
183	Doppler Institute: Activities in 2000 It seems we made it to the new millennium. Nobody knows how many New Years are ahead, but for the moment we are here with a report on the eighth year of our existence. 1 Add to Reading List Source URL: gemma.ujf.cas.cz Language: English - Date: 2004-12-17 10:18:55 Quantum phases Quantum field theory Renormalization group Geometric phase Crystal Physics Quantum mechanics Statistical mechanics
184	Learning Markov Structure by Maximum Entropy Relaxation Jason K. Johnson, Venkat Chandrasekaran and Alan S. Willsky∗ Laboratory for Information and Decision Systems Massachusetts Institute of Technology Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2012-11-05 20:50:21 Bayesian statistics Graphical models Statistical models Networks Statistical theory Markov random field Bayesian network Normal distribution Exponential family Statistics Probability and statistics Probability
185	1012 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 58, NO. 3, MARCH 2010 Gaussian Multiresolution Models: Exploiting Sparse Markov and Covariance Structure Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2012-11-05 20:49:43 Statistical models Probability theory Networks Markov random field Covariance matrix Sparse matrix Matrix Multivariate normal distribution Conjugate prior Statistics Bayesian statistics Graphical models
186	Noname manuscript No. (will be inserted by the editor) Exploiting Symmetries for Scaling Loopy Belief Propagation and Relational Training Babak Ahmadi · Kristian Kersting · Martin Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2013-07-24 09:33:34 Applied mathematics Theoretical computer science Bayesian statistics Statistical models Artificial intelligence Belief propagation Conditional random field Markov logic network Factor graph Graph theory Statistics Graphical models
187	ECAI 2012 Luc De Raedt et al. (Eds.) © 2012 The Author(s). This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License. doi:1 Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2013-02-01 10:08:59 Bayesian statistics Statistical models Theoretical computer science Probability theory Belief propagation Markov random field Markov logic network Bayesian network Factor graph Statistics Graphical models Probability
188	10 Cellular Automata and Lattice Gases We started our discussion of partial differential equations by considering how they arise as continuum approximations to discrete systems (such as cars on a highway, or masses conn Add to Reading List Source URL: fab.cba.mit.edu Language: English - Date: 2014-04-01 00:13:21 Computational physics Lattice gas automaton Quantum mechanics Statistical mechanics Cellular automaton Gas Quantum field theory Boltzmann equation Quantum cellular automata Physics Cellular automata Computational fluid dynamics
189	On-line Semantic Perception Using Uncertainty Roderick de Nijs1,∗ , Sebastian Ramos1,∗ , Gemma Roig2 , Xavier Boix2 , Luc Van Gool2 , Kolja K¨uhnlenz1,3 1 Institute of Automatic Control Engineering Technische Univer Add to Reading List Source URL: www.vision.ee.ethz.ch Language: English - Date: 2012-08-02 04:41:54 Measurement Graphical models Theoretical computer science Conditional random field Machine learning Segmentation Entropy Uncertainty Confidence interval Statistics Probability and statistics Statistical theory
190	Noname manuscript No. (will be inserted by the editor) Exploiting Symmetries for Scaling Loopy Belief Propagation and Relational Training Babak Ahmadi · Kristian Kersting · Martin Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2013-07-24 09:33:34 Applied mathematics Theoretical computer science Bayesian statistics Statistical models Artificial intelligence Belief propagation Conditional random field Markov logic network Factor graph Graph theory Statistics Graphical models

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