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» Learning Behavior Models for Hybrid Timed Systems
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ESANN
2008
15 years 2 months ago
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
Bertha Guijarro-Berdiñas, Oscar Fontenla-Ro...
109
Voted
SIAMCO
2010
132views more  SIAMCO 2010»
14 years 7 months ago
Continuous-Time Average-Preserving Opinion Dynamics with Opinion-Dependent Communications
We study a simple continuous-time multiagent system related to Krause's model of opinion dynamics: each agent holds a real value, and this value is continuously attracted by e...
Vincent D. Blondel, Julien M. Hendrickx, John N. T...
145
Voted
HPDC
1996
IEEE
15 years 5 months ago
Customized Dynamic Load Balancing for a Network of Workstations
Load balancing involves assigning to each processor, work proportional to its performance, minimizing the execution time of the program. Althoughstatic load balancing can solve ma...
Mohammed Javeed Zaki, Wei Li, Srinivasan Parthasar...
94
Voted
IWIA
2005
IEEE
15 years 6 months ago
Attack-Potential-Based Survivability Modeling for High-Consequence Systems
Previous quantitative models of security or survivability have been defined on a range of probable intruder behavior. This measures survivability as a statistic such as mean time...
John McDermott
ICTAI
2010
IEEE
14 years 10 months ago
Combining Mixed Integer Programming and Supervised Learning for Fast Re-planning
We introduce a new plan repair method for problems cast as Mixed Integer Programs. In order to tackle the inherent complexity of these NP-hard problems, our approach relies on the ...
Emmanuel Rachelson, Ala Ben Abbes, Sebastien Dieme...