447 search results - page 29 / 90 » Explaining inferences in Bayesian networks |
FLAIRS
2009
13 years 5 months ago
2009
This paper introduces an information theoretic approach to verification of modular causal probabilistic models. We assume systems which are gradually extended by adding new functi...
UAI
2008
13 years 9 months ago
2008
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
ICRA
2008
IEEE
14 years 2 months ago
2008
IEEE
— This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. The modeling rigorously explains all model assumpt...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
BMCBI
2010
13 years 7 months ago
2010
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are us...