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Econometrics / Statistical models / Machine learning / Kalman filter / Hidden Markov model / Expectation–maximization algorithm / Maximum likelihood / Mixture model / Principal component analysis / Statistics / Estimation theory / Markov models


Document Date: 2012-12-26 05:54:00

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City

Ostendorf / Pasadena / /

Company

Whittaker / /

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Facility

Queen Square / University of Toronto / University College London / Massachusetts Institute of Technology / California Institute of Technology / /

IndustryTerm

probabilistic independence networks / forward-backward algorithm / inference algorithm / free energy / expected energy / linear dynamical systems / particular algorithms / belief networks / speech processing community / disparate algorithms / linear gaussian dynamical systems / signal processing community / signal processing algorithms / autoencoder neural networks / learning algorithms / energy / be implemented using autoencoder neural networks / /

Organization

Gatsby Computational Neuroscience Unit / California Institute of Technology / U.S.A. Zoubin Ghahramani∗ Department of Computer Science / University of Toronto / Toronto / University College London / Massachusetts Institute of Technology / /

Person

Steven Nowlan / /

ProvinceOrState

California / Massachusetts / /

Technology

Neuroscience / signal processing algorithms / neural network / Data Modeling / 1999 Massachusetts Institute of Technology / inference algorithm / learning algorithms / machine learning / previously disparate algorithms / EM algorithm / forward-backward algorithm / /

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