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ESANN
2003
15 years 1 months ago
Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
Jianyu Li, Siwei Luo, Yingjian Qi
BMCBI
2004
177views more  BMCBI 2004»
14 years 11 months ago
Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
Andrew F. Neuwald, Jun S. Liu
BMCBI
2010
132views more  BMCBI 2010»
15 years 19 hour ago
Protein network prediction and topological analysis in Leishmania major as a tool for drug target selection
Background: Leishmaniasis is a virulent parasitic infection that causes a worldwide disease burden. Most treatments have toxic side-effects and efficacy has decreased due to the e...
Andrés F. Flórez, Daeui Park, Jong B...
DSN
2005
IEEE
15 years 5 months ago
Neutralization of Errors and Attacks in Wireless Ad Hoc Networks
This paper proposes and evaluates strategies to build reliable and secure wireless ad hoc networks. Our contribution is based on the notion of inner-circle consistency, where loca...
Claudio Basile, Zbigniew Kalbarczyk, Ravishankar K...
IJCNN
2006
IEEE
15 years 6 months ago
Particle Swarm Optimization of Fuzzy ARTMAP Parameters
— In this paper a Particle Swarm Optimization (PSO)-based training strategy is introduced for fuzzy ARTMAP that minimizes generalization error while optimizing parameter values. ...
Eric Granger, Philippe Henniges, Luiz S. Oliveira,...