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» Learning to Generate Fast Signal Processing Implementations
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IJHIS
2008
84views more  IJHIS 2008»
13 years 7 months ago
Selective generation of training examples in active meta-learning
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
ICRA
2006
IEEE
210views Robotics» more  ICRA 2006»
14 years 1 months ago
Programmable Central Pattern Generators: an Application to Biped Locomotion Control
— We present a system of coupled nonlinear oscillators to be used as programmable central pattern generators, and apply it to control the locomotion of a humanoid robot. Central ...
Ludovic Righetti, Auke Jan Ijspeert
ICASSP
2009
IEEE
13 years 5 months ago
Fast mean square convergence of consensus algorithms in WSNs with random topologies
The average consensus in wireless sensor networks is achieved under assumptions of symmetric or balanced topology at every time instant. However, communication and/or node failure...
Silvana Silva Pereira, Alba Pagès-Zamora
CN
2007
149views more  CN 2007»
13 years 7 months ago
Adaptive congestion protocol: A congestion control protocol with learning capability
There is strong evidence that the current implementation of TCP will perform poorly in future high speed networks. To address this problem many congestion control protocols have b...
Marios Lestas, Andreas Pitsillides, Petros A. Ioan...
ICASSP
2011
IEEE
12 years 11 months ago
Online learning with minority class resampling
This paper considers using online binary classification for target detection where the goal is to identify signals of interest within a sequence of received signals generated by ...
Michael J. Pekala, Ashley J. Llorens