377 search results - page 26 / 76 » Learning Bayesian networks from data: An information-theory ... |
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
We present a complete system for the purpose of automatically assembling 3D pots given 3D measurements of their fragments commonly called sherds. A Bayesian approach is formulated...
IJCAI
2007
13 years 9 months ago
2007
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...
CSB
2002
IEEE
14 years 18 days ago
2002
IEEE
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
BMCBI
2008
13 years 7 months ago
2008
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
TROB
2008
13 years 7 months ago
2008
Affordances encode relationships between actions, objects and effects. They play an important role on basic cognitive capabilities such as prediction and planning. We address the p...