468 search results - page 55 / 94 » A Hierarchical Latent Variable Model for Data Visualization |
BMCBI
2006
13 years 9 months ago
2006
Background: New analysis methods are being developed to integrate data from transcriptome, proteome, interactome, metabolome, and other investigative approaches. At the same time,...
NIPS
2008
13 years 10 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...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
SG
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Utilizing context information—e.g. location, user aspects, or hardware capabilities—enables the presented generic framework to automatically control the selection and...
PKDD
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....