1149 search results - page 120 / 230 » Learning Dynamic Bayesian Networks |
124
Voted
AIR
2006
15 years 1 months ago
2006
Abstract Supervised classification is one of the tasks most frequently carried out by socalled Intelligent Systems. Thus, a large number of techniques have been developed based on ...
121
Voted
ECML
2006
Springer
15 years 4 months ago
2006
Springer
Causal independence modelling is a well-known method both for reducing the size of probability tables and for explaining the underlying mechanisms in Bayesian networks. In this pap...
135
Voted
BMCBI
2005
15 years 1 months ago
2005
Background: Reconstructing regulatory networks from gene expression profiles is a challenging problem of functional genomics. In microarray studies the number of samples is often ...
125
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
In a dynamic social or biological environment, interactions between the underlying actors can undergo large and systematic changes. Each actor can assume multiple roles and their ...
124
Voted
ICWS
2004
IEEE
15 years 2 months ago
2004
IEEE
The advent of Web services has made automated workflow composition relevant to Web based applications. One technique that has received some attention, for automatically composing ...