241 search results - page 19 / 49 » Parameter learning for relational Bayesian networks |
IJAR
2010
14 years 8 months ago
2010
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...
IIS
2000
14 years 11 months ago
2000
The Hepar II system is based on a Bayesian network model of a subset of the domain of hepatology in which the structure of the network is elicited from an expert diagnostician and ...
ICANN
2010
Springer
14 years 10 months ago
2010
Springer
Learning processes allow the central nervous system to learn relationships between stimuli. Even stimuli from different modalities can easily be associated, and these associations ...
LCN
2006
IEEE
15 years 3 months ago
2006
IEEE
There is increasing research interest in solving routing problems in sensor networks subject to constraints such as data correlation, link reliability and energy conservation. Sin...
DKE
2007
14 years 9 months ago
2007
One of the main factors for the knowledge discovery success is related to the comprehensibility of the patterns discovered by applying data mining techniques. Amongst which we can...