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» Information Modeling in the Time of the Revolution
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ICANN
2003
Springer
15 years 11 months ago
The Spike Response Model: A Framework to Predict Neuronal Spike Trains
We propose a simple method to map a generic threshold model, namely the Spike Response Model, to artificial data of neuronal activity using a minimal amount of a priori informatio...
Renaud Jolivet, Timothy J. Lewis, Wulfram Gerstner
CONCUR
1997
Springer
15 years 10 months ago
Probabilistic Concurrent Constraint Programming
Abstract. We extend cc to allow the specification of a discrete probability distribution for random variables. We demonstrate the expressiveness of pcc by synthesizing combinators...
Vineet Gupta, Radha Jagadeesan, Vijay A. Saraswat
CONTEXT
2007
Springer
16 years 20 days ago
Investigating the Specifics of Contextual Elements Management: The CEManTIKA Approach
In times where users need to process an ever increasing amount of
Vaninha Vieira, Patricia Azevedo Tedesco, Ana Caro...
EMS
2009
IEEE
16 years 1 months ago
Modelling Periodic Data Dissemination in Wireless Sensor Networks
—Epidemic-based communications, or “gossiping”, provides a robust and scalable method for maintaining a knowledge base in a sensor network faced with an unpredictable network...
Graham Williamson, Davide Cellai, Simon A. Dobson,...
ETFA
2006
IEEE
16 years 16 days ago
Optimizing Quality of Control in Networked Automation Systems using Probabilistic Models
New technological trends lead to the increasing use of network technologies in automation. Especially the Ethernet with TCP/IP and wireless networks find growing acceptance. The r...
Jürgen Greifeneder, Georg Frey