author:Michael I. Jordan Graphical models are a marriage between graph theory and probability theory They clarify the relationship between neural networks and related network-based models such as HMMs, MRFs, and Kalman lters Indeed, they can be
Above the Clouds: A Berkeley View of Cloud Computing Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy Katz, Andy Konwinski, Gunho Lee, David Patterson, Ariel Rabkin, Ion Stoica, and Matei Zaharia (Comments should be addressed to
Category Theory Lecture Notes for ESSLLI Michael Barr Department of Mathematics and Statistics McGill University Charles Wells Department of Mathematics Case Western Reserve University
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