Recent advances in the area of lifted inference, which exploits the structure inherent in relational probabilistic model
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A description of perturbation-based methods developed in machine learning to augment novel optimization methods with str
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Neural Information Processing and VLSI provides a unified treatment of this important subject for use in classrooms, ind
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In 2012, I published a 1200-page book called “Machine learning: a probabilistic perspective”, whichprovided a fairly com
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