1149 search results - page 62 / 230 » Learning Dynamic Bayesian Networks |
167
click to vote
KBS
2006
15 years 6 months ago
2006
Bayesian networks (BNs) provide a means for representing, displaying, and making available in a usable form the knowledge of experts in a given Weld. In this paper, we look at the...
165
click to vote
KDD
1999
ACM
15 years 10 months ago
1999
ACM
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
211
click to vote
MMAS
2011
Springer
15 years 29 days ago
2011
Springer
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
165
click to vote
BMCBI
2010
15 years 6 months ago
2010
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
173
click to vote
ICML
2008
IEEE
16 years 6 months ago
2008
IEEE
Causal analysis of continuous-valued variables typically uses either autoregressive models or linear Gaussian Bayesian networks with instantaneous effects. Estimation of Gaussian ...