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Bayesian statistics / Expectation–maximization algorithm / Missing data / Statistical natural language processing / Mixture model / Latent variable model / Conjugate prior / Maximum likelihood / Exponential family / Statistics / Statistical models / Estimation theory


Variational Bounds for Mixed-Data Factor Analysis Mohammad Emtiyaz Khan University of British Columbia Vancouver, BC, Canada V6T 1Z4
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Document Date: 2010-11-01 11:54:31

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City

Meylan / Toronto / /

Company

Monte Carlo / Xerox Research Center Europe / /

Continent

Asia / /

Country

France / Canada / /

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Facility

University of British Columbia / Guillaume Bouchard Xerox Research Center / Benjamin M. Marlin University of British Columbia Vancouver / Kevin P. Murphy University of British Columbia Vancouver / Mixed-Data Factor Analysis Mohammad Emtiyaz Khan University of British Columbia Vancouver / Xerox Research Center / Pacific Institute / /

IndustryTerm

cross validation search / EM algorithms / careful discrete search / variational algorithm / logistic regression algorithm / /

MarketIndex

case 10 / /

OperatingSystem

L3 / /

Organization

Mixed-Data Factor Analysis Mohammad Emtiyaz Khan University / Kevin P. Murphy University / Pacific Institute for the Mathematical Sciences and the Killam Trusts / University of British Columbia / Guillaume Bouchard Xerox Research Center Europe / /

Person

Max Welling / Michael I. Jordan / David Forsyth / Chaitanya Chemudugunta / Wagner Kamakura / Michel Wedel / Nathan Sutter / David Blei / Guillaume Bouchard / Mohammad Emtiyaz / /

Position

Prime Minister / factor analyzers model for discrete and continuous data / /

ProvinceOrState

British Columbia / /

TVShow

In the Mix / /

Technology

Speech Recognition / Multinomial logistic regression algorithm / variational EM algorithm / Data Mining / Machine Learning / EM algorithm / EM algorithms / variational EM algorithms / Computing Vn EM algorithm / /

URL

www.icpsr.umich.edu / /

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