A hierarchical model for ordinal matrix factorization

DOI10.1007/s11222-011-9264-xzbMath1252.62068OpenAlexW2108688935WikidataQ42102935 ScholiaQ42102935MaRDI QIDQ693327

Ole Winther, Blaise Thomson, Ulrich Paquet

Publication date: 7 December 2012

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11222-011-9264-x

zbMATH Keywords

Bayesian inferenceGibbs samplingcollaborative filteringvariational Bayesordinal regressionhierarchial modellinglarge scale machine learninglow rank matrix decomposition

Mathematics Subject Classification ID

Multivariate analysis (62H99) Factorization of matrices (15A23) Bayesian inference (62F15) Learning and adaptive systems in artificial intelligence (68T05) Applications of statistics to psychology (62P15)

Related Items

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Uses Software

• Matlab

Cites Work

• Algorithms and applications for approximate nonnegative matrix factorization
• Bayesian learning for neural networks
• An introduction to variational methods for graphical models
• On the Theory of Scales of Measurement
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Bayesian Analysis of Binary and Polychotomous Response Data
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