454 search results - page 6 / 91 » Bayesian learning of measurement and structural models |
BIOCOMP
2006
13 years 9 months ago
2006
Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
ICMCS
2008
IEEE
14 years 2 months ago
2008
IEEE
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
GECCO
2009
Springer
14 years 10 days ago
2009
Springer
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
ADMA
2006
Springer
14 years 1 months ago
2006
Springer
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Given a model family and a set of unlabeled examples, one could either label specific examples or state general constraints--both provide information about the desired model. In g...