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» Learning recursive functions: A survey
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GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
13 years 8 months ago
Recursive least squares and quadratic prediction in continuous multistep problems
XCS with computed prediction, namely XCSF, has been recently extended in several ways. In particular, a novel prediction update algorithm based on recursive least squares and the ...
Daniele Loiacono, Pier Luca Lanzi
IJCNN
2007
IEEE
14 years 1 months ago
Risk Assessment Algorithms Based on Recursive Neural Networks
— The assessment of highly-risky situations at road intersections have been recently revealed as an important research topic within the context of the automotive industry. In thi...
Alejandro Chinea Manrique De Lara, Michel Parent
IJET
2008
114views more  IJET 2008»
13 years 7 months ago
Proposal of convergence of e-Learning Systems for t-Learning
This article presents considerations about viability on reutilize existing web based e-Learning systems on Interactive Digital TV environment according to Digital TV standard adopt...
Barbara De Franco, Hilda Carvalho Oliveira, Everal...
EUSFLAT
2009
137views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Novel Methods for the Design of General Type-2 Fuzzy Sets based on Device Characteristics and Linguistic Labels Surveys
Fuzzy Logic Systems are widely recognized to be successful at modelling uncertainty in a large variety of applications. While recently interval type-2 fuzzy logic has been credited...
Christian Wagner, Hani Hagras
SIGPRO
2011
209views Hardware» more  SIGPRO 2011»
13 years 2 months ago
Surveying and comparing simultaneous sparse approximation (or group-lasso) algorithms
In this paper, we survey and compare different algorithms that, given an overcomplete dictionary of elementary functions, solve the problem of simultaneous sparse signal approxim...
A. Rakotomamonjy