467 search results - page 6 / 94 » An Efficient Approach to Learning Inhomogeneous Gibbs Model |
NIPS
2008
13 years 9 months ago
2008
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
JMLR
2010
13 years 2 months ago
2010
We develop a Bayesian framework for supervised dimension reduction using a flexible nonparametric Bayesian mixture modeling approach. Our method retrieves the dimension reduction ...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
A statistical framework for modeling and prediction of binary matrices is presented. The method is applied to social network analysis, specifically the database of US Supreme Cou...
SCALESPACE
2007
Springer
14 years 1 months ago
2007
Springer
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...