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» Performing time-sensitive network experiments
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125
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NN
2000
Springer
134views Neural Networks» more  NN 2000»
14 years 10 months ago
Generic modeling of chemotactic based self-wiring of neural networks
The proper functioning of the nervous system depends critically on the intricate network of synaptic connections that are generated during the system development. During the netwo...
Ronen Segev, Eshel Ben-Jacob
ICCS
2009
Springer
15 years 4 months ago
Improving the Scalability of SimGrid Using Dynamic Routing
Research into large-scale distributed systems often relies on the use of simulation frameworks in order to bypass the disadvantages of performing experiments on real testbeds. SimG...
Silas De Munck, Kurt Vanmechelen, Jan Broeckhove
ARC
2007
Springer
120views Hardware» more  ARC 2007»
15 years 2 months ago
Partially Reconfigurable Point-to-Point Interconnects in Virtex-II Pro FPGAs
Abstract. Conventional rigid router-based networks on chip incur certain overheads due to huge occupied logic resources and topology embedding, i.e., the mapping of a logical netwo...
Jae Young Hur, Stephan Wong, Stamatis Vassiliadis
88
Voted
BMCBI
2006
146views more  BMCBI 2006»
14 years 10 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
98
Voted
JMLR
2008
100views more  JMLR 2008»
14 years 10 months ago
Hit Miss Networks with Applications to Instance Selection
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Elena Marchiori