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Estimation theory / Statistical models / Statistical theory / Variational Bayesian methods / Probability theory / Conjugate prior / Mixture model / Marginal likelihood / Kullback–Leibler divergence / Statistics / Bayesian statistics / Probability and statistics


Nonparametric Variational Inference Samuel J. Gershman [removed] Department of Psychology, Princeton University, Green Hall, Princeton, NJ[removed]USA Matthew D. Hoffman
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Document Date: 2012-06-05 15:28:29

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Lawrence / P. Particle / Edinburgh / /

Company

Neural Systems / Neural Networks / Google / CRC Press / Computer Laboratory / Weston / /

Country

Jordan / United Kingdom / Scotland / /

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Facility

Princeton University / University College London / Columbia University / University of Cambridge / Green Hall / /

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negative free energy / belief networks / variational algorithms / generalpurpose algorithm / microarray image processing / continuous systems / variational algorithm / inference algorithm / variational inference algorithm / generic inference algorithms / functional magnetic resonance imaging / posterior inference algorithm / variational inference algorithms / approximate inference algorithm / /

Organization

Gatsby Computational Neuroscience Unit / University College London / National Science Foundation / American Statistical Association / Department of Statistics / Princeton University / Department of Psychology / Columbia University / New York / Department of Computer Science / University of Cambridge / Alfred P. Sloan / /

Person

Samuel J. Gershman / Matthew D. Hoffman / David M. Blei / /

Position

D.J. / author / Bishop / Fisher / topographic latent source model for fMRI data / /

Product

Pentax K-x Digital Camera / /

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New Jersey / North Dakota / New York / /

PublishedMedium

Machine Learning / Journal of the American Statistical Association / /

Technology

Neuroscience / variational inference algorithm / Bioinformatics / NPV algorithm / posterior inference algorithm / inference algorithm / Monte Carlo algorithm / ATM / Machine Learning / generic inference algorithms / image processing / generalpurpose algorithm / M.J. Variational algorithms / approximate inference algorithm / variational inference algorithms / magnetic resonance imaging / DNA Chip / MCMC algorithm / simulation / /

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