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Scalable Learning and Inference in Hierarchical Models of...
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Google TechTalks January 17, 2006 Tom Dean ABSTRACT Borrowing insights from computational neuroscience, we present a class of generative models well suited to modeling perceptual processes and an algorithm for learning their parameters that promises to scale to learning very large models. The models are hierarchical, composed of multiple level... Read more

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- -: Scalable Learning and Inference in Hierarchical Models of...

October 9, 2007 (over 16 years ago)

Google TechTalks January 17, 2006 Tom Dean ABSTRACT Borrowing insights from computational neuroscience, we present a class of generative models well suited to modeling perceptual processes and an algorithm for learning their parameters that promises to scale to learning very large models. The m...

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- -: Web-based Inference Detection

June 3, 2009 (almost 15 years ago)

Google Tech Talk February 13, 2009 ABSTRACT Presented by Jessica Staddon. Text content can allow unintended inferences. Consider, for example, the numerous people who have published anonymous blogs for venting about their employer only to be identified through seemingly non-identifying posts. ...

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