We describe the timely dataflow model for distributed computation and its implementation in the Naiad system.
Derek G. Murray, Frank McSherry, Michael Isard, Rebecca Isaacs, Paul Barham, Martin Abadi From Communications of the ACM | October 2016
Probabilistic graphical models and algorithms for approximate inference have proven to be powerful tools in a wide range of applications in statistics and AI. However...Erik B. Sudderth, Alexander T. Ihler, Michael Isard, William T. Freeman, Alan S. Willsky From Communications of the ACM | October 2010
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