613 search results - page 69 / 123 » Learning the Structure of Linear Latent Variable Models |
ICIP
2008
IEEE
14 years 10 months ago
2008
IEEE
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
PKDD
2009
Springer
14 years 3 months ago
2009
Springer
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
NIPS
2001
13 years 10 months ago
2001
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
CORR
2010
Springer
13 years 3 months ago
2010
Springer
Abstract: Transactional network data can be thought of as a list of oneto-many communications (e.g., email) between nodes in a social network. Most social network models convert th...
AAAI
2012
11 years 11 months ago
2012
We propose a novel sequential decision approach to modeling ordinal ratings in collaborative filtering problems. The rating process is assumed to start from the lowest level, eva...