447 search results - page 16 / 90 » Explaining inferences in Bayesian networks |
AAAI
2011
12 years 7 months ago
2011
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
WCNC
2008
IEEE
14 years 1 months ago
2008
IEEE
: Sensor management deals with the efficient resource allocation to meet mission objectives of the application, air traffic control. A schedule for the sensors is constructed, whic...
ECSQARU
2007
Springer
14 years 1 months ago
2007
Springer
This paper presents a new approach to inference in Bayesian networks. The principal idea is to encode the network by logical sentences and to compile the resulting encoding into an...
TREC
2003
13 years 9 months ago
2003
Many researchers have used lexical networks and ontologies to mitigate synonymy and polysemy problems in Question Answering (QA), systems coupled with taggers, query classifiers,...
PRL
2000
13 years 7 months ago
2000
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...