94 search results - page 12 / 19 » Bayesian Non-negative Matrix Factorization |
PAKDD
2009
ACM
14 years 15 days ago
2009
ACM
Abstract. Recently, the variational Bayesian approximation was applied to probabilistic matrix factorization and shown to perform very well in experiments. However, its good perfor...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
There is an exploding amount of user-generated content on the Web due to the emergence of "Web 2.0" services, such as Blogger, MySpace, Flickr, and del.icio.us. The part...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
The blogosphere has unique structural and temporal properties since blogs are typically used as communication media among human individuals. In this paper, we propose a novel tech...
AAAI
2010
13 years 9 months 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...
ICML
2010
IEEE
13 years 9 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 ...