22 search results - page 3 / 5 » A Bayesian framework for knowledge driven regression model i... |
AI
2002
Springer
13 years 6 months ago
2002
Springer
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
ICASSP
2007
IEEE
14 years 16 days ago
2007
IEEE
As dynamic connectivity is shown essential for normal brain function and is disrupted in disease, it is critical to develop models for inferring brain effective connectivity from ...
CIVR
2006
Springer
13 years 10 months ago
2006
Springer
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
CSB
2003
IEEE
13 years 11 months ago
2003
IEEE
The complexity of the global organization and internal structures of motifs in higher eukaryotic organisms raises significant challenges for motif detection techniques. To achiev...
BMCBI
2007
13 years 6 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...