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JMLR
2006
389views more  JMLR 2006»
13 years 7 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
MICRO
2008
IEEE
79views Hardware» more  MICRO 2008»
13 years 7 months ago
Strategies for mapping dataflow blocks to distributed hardware
Distributed processors must balance communication and concurrency. When dividing instructions among the processors, key factors are the available concurrency, criticality of depen...
Behnam Robatmili, Katherine E. Coons, Doug Burger,...
JSAC
2006
157views more  JSAC 2006»
13 years 7 months ago
Traffic grooming in path, star, and tree networks: complexity, bounds, and algorithms
We consider the problem of traffic grooming in WDM path, star, and tree networks. Traffic grooming is a variant of the well-known logical topology design, and is concerned with the...
Shu Huang, Rudra Dutta, George N. Rouskas
KES
2006
Springer
13 years 7 months ago
Spiking Neural Network Based Classification of Task-Evoked EEG Signals
This paper presents an improved technique to detect evoked potentials in continuous EEG recordings using a spiking neural network. Human EEG signals recorded during spell checking,...
Piyush Goel, Honghai Liu, David J. Brown, Avijit D...
MP
2006
138views more  MP 2006»
13 years 7 months ago
A new ILP-based refinement heuristic for Vehicle Routing Problems
In the paper we address the Distance-Constrained Capacitated Vehicle Routing Problem (DCVRP), where k minimum-cost routes through a central depot have to be constructed so as to co...
Roberto De Franceschi, Matteo Fischetti, Paolo Tot...