Editing Graphical model (section)

==Applications==
The framework of the models, which provides algorithms for discovering and analyzing structure in complex distributions  to describe them succinctly and extract the unstructured information, allows them to be constructed and utilized effectively.<ref name=koller09/> Applications of graphical models include [[causal inference]], [[information extraction]], [[speech recognition]], [[computer vision]], decoding of [[low-density parity-check codes]], modeling of [[gene regulatory network]]s, gene finding and diagnosis of diseases, and [[graphical models for protein structure]].