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Bayesian inference / Beta-binomial distribution / Markov chain / Prior probability / Empirical Bayes method / Bayes factor / Hierarchical Bayes model / Statistics / Bayesian statistics / Conjugate prior


Journal of Machine Learning Research[removed]3176 Submitted 1/12; Revised 5/12; Published[removed]Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets
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Document Date: 2012-11-13 18:50:28


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City

Zurich / London / Bern / /

Company

Machine Learning Laboratory / Pearson / Cox / CH Laboratory / /

Country

Switzerland / United Kingdom / /

Currency

USD / /

Facility

Queen Square / Economics University of Zurich Bluemlisalpstrasse / University College London / University of Zurich Wilfriedstrasse / University of Zurich / /

IndustryTerm

classification algorithm / illustrative applications / classification algorithms / /

Organization

University of Zurich / University of Zurich Wilfriedstrasse / University College London / Department of Economics / Wellcome Trust Centre for Neuroimaging / ETA / CH Translational Neuromodeling Unit / Laboratory for Social and Neural Systems Research / Laboratory for Social / Institute for Biomedical Engineering ETH Zurich / Neural Systems Research / Economics University of Zurich Bluemlisalpstrasse / /

Person

Harrison / Joachim M. Buhmann / Cheng Soon Ong / Cheng Soon Ong Joachim / Justin R. Chumbley / Kay H. Brodersen∗ Christoph Mathys / Kay H. Brodersen / Tong / Jean Daunizeau / Christoph Mathys / /

Position

model / π+ and π− / Bishop / /

ProgrammingLanguage

MATLAB / C / /

PublishedMedium

Journal of Machine Learning Research / /

Technology

evaluating classification algorithms / classification algorithms / Introduction Classification algorithms / http / TEPHAN Abstract Classification algorithms / Machine Learning / classification algorithm / Metropolis algorithm / /

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