273 search results - page 2 / 55 » Predicting protein functions with message passing algorithms |
UAI
2008
13 years 7 months ago
2008
Linear Programming (LP) relaxations have become powerful tools for finding the most probable (MAP) configuration in graphical models. These relaxations can be solved efficiently u...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
UAI
2008
13 years 7 months ago
2008
Inference problems in graphical models can be represented as a constrained optimization of a free energy function. It is known that when the Bethe free energy is used, the fixedpo...
JMLR
2012
11 years 8 months ago
2012
We address the problem of finding the most likely assignment or MAP estimation in a Markov random field. We analyze the linear programming formulation of MAP through the lens of...
LION
2009
Springer
14 years 27 days ago
2009
Springer
Abstract. Protein function prediction represents a fundamental challenge in bioinformatics. The increasing availability of proteomics network data has enabled the development of se...