4 search results - page 1 / 1 » Learning Bayesian Networks for Diverse and Varying numbers o... |
67
Voted
ICML
2000
IEEE
15 years 11 months ago
2000
IEEE
We introduce an expandable Bayesian network (EBN) to handle the combination of diverse multiple homogeneous evidence sets. An EBN is an augmented Bayesian network which instantiat...
109
Voted
AI
2006
Springer
14 years 11 months ago
2006
Springer
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
95
Voted
JMLR
2010
14 years 5 months ago
2010
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
97
Voted
KDD
2009
ACM
15 years 11 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...