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Geoffrey E. Hinton
Researcher at Google
Publications - 426
Citations - 501778
Geoffrey E. Hinton is an academic researcher from Google. The author has contributed to research in topics: Artificial neural network & Generative model. The author has an hindex of 157, co-authored 414 publications receiving 409047 citations. Previous affiliations of Geoffrey E. Hinton include Canadian Institute for Advanced Research & Max Planck Society.
Papers
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Proceedings ArticleDOI
Pattern classification using a mixture of factor analyzers
TL;DR: Experimental results show that the MFA-based approach can obtain better classification performance than the conventional subspace methods.
Fast Inference and Learning for Modeling Documents with a Deep Boltzmann Machine
TL;DR: This work introduces a type of Deep Boltzmann Machine that is suitable for extracting distributed semantic representations from a large unstructured collection of documents and proposes an approximate inference method that interacts with learning in a way that makes it possible to train the DBM more eciently than previously proposed methods.
Proceedings Article
Unsupervised Part Representation by Flow Capsules
Posted Content
Discovering Multiple Constraints that are Frequently Approximately Satisfied
Geoffrey E. Hinton,Yee Whye Teh +1 more
TL;DR: In this paper, three methods of learning products of linear constraints using a heavy-tailed probability distribution for the violations are described, each of which is Frequently Approximately Satisfied (FAS) by the data.