%0 Journal Article %1 citeulike:562662 %A Buntine, Wray L. %D 1994 %J Journal of Artificial Intelligence Research %K bayesian graphical learning ml model proj:o4p toread %P 159--225 %T Operations for Learning with Graphical Models %U http://citeseer.ist.psu.edu/6938.html %V 2 %X This paper is a multidisciplinary review of empirical, statistical learning from a graphical model perspective. Well-known examples of graphical models include Bayesian networks, directed graphs representing a Markov chain, and undirected networks representing a Markov field. These graphical models are extended to model data analysis and empirical learning using the notation of plates. Graphical operations for simplifying and manipulating a problem are provided including decomposition,...

@article{citeulike:562662, abstract = {This paper is a multidisciplinary review of empirical, statistical learning from a graphical model perspective. Well-known examples of graphical models include Bayesian networks, directed graphs representing a Markov chain, and undirected networks representing a Markov field. These graphical models are extended to model data analysis and empirical learning using the notation of plates. Graphical operations for simplifying and manipulating a problem are provided including decomposition,...}, added-at = {2007-08-15T11:46:37.000+0200}, author = {Buntine, Wray L.}, biburl = {https://www.bibsonomy.org/bibtex/28952cf0d215116e038971f7c30d6d19d/wnpxrz}, citeulike-article-id = {562662}, interhash = {c7dd650780467c934551356630a7b739}, intrahash = {8952cf0d215116e038971f7c30d6d19d}, journal = {Journal of Artificial Intelligence Research}, keywords = {bayesian graphical learning ml model proj:o4p toread}, pages = {159--225}, priority = {0}, timestamp = {2008-01-12T12:00:47.000+0100}, title = {Operations for Learning with Graphical Models}, url = {http://citeseer.ist.psu.edu/6938.html}, volume = 2, year = 1994 }