7 search results - page 1 / 2 » Nonparametric Bayesian Matrix Factorization by Power-EP |
JMLR
2010
13 years 5 months ago
2010
ICML
2010
IEEE
13 years 12 months ago
2010
IEEE
Recent research in machine learning has focused on breaking audio spectrograms into separate sources of sound using latent variable decompositions. These methods require that the ...
AAAI
2010
14 years 9 days ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
ICA
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. A nonparametric Bayesian extension of Independent Components Analysis (ICA) is proposed where observed data Y is modelled as a linear superposition, G, of a potentially i...
AAAI
2008
14 years 1 months ago
2008
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...