These are my links for May 27th from 02:21 to 09:21: Introduction to Graphical Modelling – The aim of this chapter is twofold. In the first part we will provide a brief overview of the mathematical and statistical foundations of graphical models, along with their fundamental properties, estimation and basic inference procedures. In particular we will develop Markov networks (also known as Markov random fields) and Bayesian networks, which comprise most past and current literature on graphical models. In the second part we will review some applications of graphical models in systems biology. [1005.0437] A Unifying View of Multiple Kernel […]

# Monthly Archives: May 2010

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