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» Scalable Bayesian Matrix Factorization
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ICML
2008
IEEE
14 years 6 months ago
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
Ruslan Salakhutdinov, Andriy Mnih
ICPR
2010
IEEE
14 years 4 days ago
Bayesian Inference for Nonnegative Matrix Factor Deconvolution Models
In this paper we develop a probabilistic interpretation and a full Bayesian inference for non-negative matrix deconvolution (NMFD) model. Our ultimate goal is unsupervised extract...
Serap Kirbiz, Ali Taylan Cemgil, Bilge Gunsel
WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
12 years 20 days ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...
JMLR
2010
95views more  JMLR 2010»
12 years 12 months ago
Nonparametric Bayesian Matrix Factorization by Power-EP
Nan Ding, Yuan (Alan) Qi, Rongjing Xiang, Ian Moll...