Mixed-effects inference for classification studies Release v1.04 (r19160) for MATLAB, March 2013 Introduction Classification algorithms are often used in a hierarchical setting, where a classifier is trained and tested o - Beta-binomial distribution - Document - PDFSEARCH.IO

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	Mixed-effects inference for classification studies Release v1.04 (r19160) for MATLAB, March 2013 Introduction Classification algorithms are often used in a hierarchical setting, where a classifier is trained and tested o Add to Reading List Document Date: 2015-01-04 06:15:14 Open Document File Size: 296,43 KB Share Result on Facebook Company Monte Carlo / / / IndustryTerm classification algorithm / / OperatingSystem GNU / / Person Kay H. Brodersen / Statistical / / Position General / appropriate model for us / model / / ProgrammingLanguage MATLAB / VB / / PublishedMedium Journal of Machine Learning Research / / Technology 2013 Introduction Classification algorithms / variational Bayes algorithm / Machine Learning / classification algorithm / / URL http / SocialTag Bayesian inference Deduction Psychometrics Statistical inference Bayes factor Beta-binomial distribution Variational Bayesian methods Inference Normal distribution Statistics

Mixed-effects inference for classification studies Release v1.04 (r19160) for MATLAB, March 2013 Introduction Classification algorithms are often used in a hierarchical setting, where a classifier is trained and tested oAdd to Reading List