141 search results - page 9 / 29 » Approximate algorithms for credal networks with binary varia... |
COCOA
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. In wireless communication networks, optimal use of the directional antenna is very important. The directional antenna coverage (DAC) problem is to cover all clients with ...
UAI
1997
13 years 10 months ago
1997
We consider probabilistic inference in general hybrid networks, which include continuous and discrete variables in an arbitrary topology. We reexamine the question of variable dis...
INFOCOM
2007
IEEE
14 years 2 months ago
2007
IEEE
— Loss networks provide a powerful tool for the analysis and design of many communication and networking systems. It is well known that a large number of loss networks have produ...
UAI
1998
13 years 10 months ago
1998
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
ICANN
2007
Springer
14 years 2 months ago
2007
Springer
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...