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» Learning Weighted Automata
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ESANN
2008
15 years 17 days 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...
DIGITEL
2007
IEEE
15 years 5 months ago
A Brief Survey of Distributed Computational Toys
Distributed Computational Toys are physical artifacts that function based on the coordination of more than one computing device. Often, these toys take the form of a microcontroll...
Eric Schweikardt, Mark D. Gross
GLOBECOM
2007
IEEE
15 years 5 months ago
Stochastic Channel Selection in Cognitive Radio Networks
— In this paper, we investigate the channel selection strategy for secondary users in cognitive radio networks. We claim that in order to avoid the costly channel switchings, a s...
Yang Song, Yuguang Fang, Yanchao Zhang
FORMATS
2007
Springer
15 years 5 months ago
On Timed Models of Gene Networks
Abstract. We present a systematic translation from timed models of genetic regulatory networks into products of timed automata to which one can apply verification tools in order l...
Grégory Batt, Ramzi Ben Salah, Oded Maler
80
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AAAI
2004
15 years 16 days ago
Adaptive Algorithms for Routing and Traffic Engineering in Stochastic Networks
In this paper we report some of the research endeavors we are embarking on as part of the Doctoral research of the first author. We have already completed an investigation of some...
Sudip Misra, B. John Oommen