175 search results - page 21 / 35 » Learning Continuous Time Bayesian Networks |
IWANN
2005
Springer
15 years 5 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
15 years 6 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
15 years 3 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...
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ICDCS
2000
IEEE
15 years 4 months 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
15 years 4 months 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...