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» Networks of probabilistic events in discrete time
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ICML
2006
IEEE
14 years 8 months ago
Hidden process models
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
ICDS
2007
IEEE
14 years 1 months ago
On Burst Loss in Optical Burst Switched Networks with Hot Potato Deflection Routing
In this article we investigate the effects of increased Control Packet lead Time (CPT) on the loss probability of bursts in an OBS network with deflection routing. In particular w...
Stein Gjessing
NN
2006
Springer
141views Neural Networks» more  NN 2006»
13 years 7 months ago
Encoding uncertainty in the hippocampus
The medial temporal lobe may play a critical role in binding successive events into memory while encoding contextual information in implicit and explicit memory tasks. Information...
Lee M. Harrison, Andrew Duggins, Karl J. Friston
SIGMETRICS
2003
ACM
165views Hardware» more  SIGMETRICS 2003»
14 years 26 days ago
A hybrid systems modeling framework for fast and accurate simulation of data communication networks
In this paper we present a general hybrid systems modeling framework to describe the flow of traffic in communication networks. To characterize network behavior, these models use...
Stephan Bohacek, João P. Hespanha, Junsoo L...
FPGA
2004
ACM
174views FPGA» more  FPGA 2004»
14 years 1 months ago
A compiled accelerator for biological cell signaling simulations
The simulation of large systems of biochemical reactions is a key part of research into molecular signaling and information processing in biological cells. However, it can be impr...
John F. Keane, Christopher Bradley, Carl Ebeling