175 search results - page 21 / 35 » Learning Continuous Time Bayesian Networks |
IWANN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. A spiking neural network modeling the cerebellum is presented. The model, consisting of more than 2000 conductance-based neurons and more than 50 000 synapses, runs in re...
IPPS
2008
IEEE
14 years 2 months ago
2008
IEEE
Website capacity determination is crucial to measurement-based access control, because it determines when to turn away excessive client requests to guarantee consistent service qu...
CIKM
1997
Springer
13 years 12 months ago
1997
Springer
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
ICDCS
2000
IEEE
14 years 4 days ago
2000
IEEE
For transmission of continuous media (CM) streams such as audio and video over the Internet, a critical issue is that periodic network overloads cause bursty packet losses. Studie...
ICES
2003
Springer
14 years 28 days ago
2003
Springer
Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...