G
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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Introduction to the Special Section on Deep Learning for Speech and Language Processing
TL;DR: Current speech recognition systems, for example, typically use Gaussian mixture models (GMMs), to estimate the observation (or emission) probabilities of hidden Markov models (HMMs), and GMMs are generative models that have only one layer of latent variables.
Journal ArticleDOI
Recognizing handwritten digits using hierarchical products of experts
Guy Mayraz,Geoffrey E. Hinton +1 more
TL;DR: On the MNIST database, the system is comparable with current state-of-the-art discriminative methods, demonstrating that the product of experts learning procedure can produce effective generative models of high-dimensional data.
Journal ArticleDOI
Split and Merge EM Algorithm for Improving Gaussian Mixture Density Estimates
TL;DR: This work presents a new EM algorithm which performs split and merge operations on the Gaussians to escape from these configurations of Gaussian mixture models, which often gets caught in local maxima of the likelihood.
The delve manual
Carl Edward Rasmussen,Radford M. Neal,Geoffrey E. Hinton,D Van Camp,Michael Revow,Zoubin Ghahramani,Rafal Kustra,Robert Tibshirani +7 more
TL;DR: This manual describes the preliminary release of the DELVE environment, and recommends that you exercise caution when using this version of DELVE for real work, as it is possible that bugs remain in the software.