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Machine learning / Data analysis / Multivariate statistics / Expectation–maximization algorithm / Mixture model / Principal component analysis / Maximum likelihood / Independent component analysis / Supervised learning / Statistics / Statistical models / Estimation theory


Deep Mixtures of Factor Analysers Yichuan Tang [removed] Ruslan Salakhutdinov [removed]
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Document Date: 2012-09-17 19:48:33


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File Size: 3,02 MB

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City

Toronto / Edinburgh / /

Company

Pearson / Zoran / DMFA / Copula Networks / /

Country

United Kingdom / Scotland / /

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Facility

University of Toronto / University of California / /

IndustryTerm

greedy layer-wise algorithm / segmentation algorithms / deep belief networks / linear dynamical systems / greedy layer-wise learning algorithm / neural networks / patch-based denoising algorithm / cumulative distribution networks / learning algorithm / layer-wise training algorithm / /

Organization

University of Toronto / Toronto / Department of Computer Science / U.S. Securities and Exchange Commission / University of California / Irvine / Pattern Analysis and Machine Intelligence / /

Person

Ruslan Salakhutdinov / Wc / Jakob Verbeek / Geoffrey Hinton / /

Position

author / Prime Minister / /

ProvinceOrState

California / Ontario / /

PublishedMedium

Machine Learning / /

Technology

G. E. The EM algorithm / patch-based denoising algorithm / greedy layer-wise algorithm / greedy layer-wise learning algorithm / layer-wise training algorithm / Machine Learning / EM algorithm / pdf / evaluating segmentation algorithms / be trained efficiently using a greedy layer-wise algorithm / /

URL

www.ldc.upen.edu/Catalog/CatalogEntry.jsp?catalogId=LDC93S1 / http /

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