1203 search results - page 3 / 241 » Probabilistic Matrix Factorization |
SIGIR
2009
ACM
14 years 8 days ago
2009
ACM
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
AAAI
2008
13 years 8 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...
SIGIR
2004
ACM
13 years 11 months ago
2004
ACM
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
ICASSP
2009
IEEE
13 years 3 months ago
2009
IEEE
Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X USV , where factor matrices, U, S, and V , are restricted to be nonnegativ...
ICA
2010
Springer
13 years 6 months ago
2010
Springer
We develop a probabilistic modeling framework for multiway arrays. Our framework exploits the link between graphical models and tensor factorization models and it can realize any ...