Graphical Models in a Nutshell Export

@inbook{citeulike:3285149, abstract = {Probabilistic graphical models are an elegant framework which combines uncertainty (probabilities) and logical structure (independence constraints) to compactly represent complex, real-world phenomena. The framework is quite general in that many of the commonly proposed statistical models (Kalman filters, hidden Markov models, Ising models) can be described as graphical models. Graphical models have enjoyed a surge of interest in the last two decades, due both to the flexibility and power of the representation and to the increased ability to effectively learn and perform inference in large networks.}, author = {Koller, Daphne and Friedman, Nir and Getoor, Lise and Taskar, Ben}, booktitle = {Introduction to Statistical Relational Learning}, citeulike-article-id = {3285149}, citeulike-linkout-0 = {http://www.robotics.stanford.edu/~koller/Papers/Koller+al:SRL07.pdf}, keywords = {allpurpose, bayes, gibbs, graphicalmodels}, posted-at = {2008-09-18 10:06:16}, priority = {2}, publisher = {MIT Press}, title = {Graphical Models in a Nutshell}, url = {http://www.robotics.stanford.edu/~koller/Papers/Koller+al:SRL07.pdf}, year = {2007} }

TY - CHAP ID - citeulike:3285149 L3 - citeulike-article-id:3285149 N2 - Probabilistic graphical models are an elegant framework which combines uncertainty (probabilities) and logical structure (independence constraints) to compactly represent complex, real-world phenomena. The framework is quite general in that many of the commonly proposed statistical models (Kalman filters, hidden Markov models, Ising models) can be described as graphical models. Graphical models have enjoyed a surge of interest in the last two decades, due both to the flexibility and power of the representation and to the increased ability to effectively learn and perform inference in large networks. TI - Graphical Models in a Nutshell PB - MIT Press T2 - Introduction to Statistical Relational Learning KW - allpurpose KW - bayes KW - gibbs KW - graphicalmodels AU - Koller, Daphne AU - Friedman, Nir AU - Getoor, Lise AU - Taskar, Ben PY - 2007/// UR - http://www.robotics.stanford.edu/~koller/Papers/Koller+al:SRL07.pdf ER -