Bill Bradley

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We introduce Dimple, a fully open-source API for probabilistic modeling. Dimple allows the user to specify probabilistic models in the form of graphical models, Bayesian networks, or factor graphs, and performs inference (by automatically deriving an inference engine from a variety of algorithms) on the model. Dimple also serves as a compiler for GP5, a(More)
Efficient hardware implementations of statistical inference continue to grow in importance for a wide range of computing applications. While CPU cycles are increasingly being used for statistical inference, transistors are also becoming increasingly statistical. For implementing statistical algorithms, could it be that statistical electronic substrates are(More)
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