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GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
15 years 5 months ago
Unsupervised learning of echo state networks: balancing the double pole
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
Fei Jiang, Hugues Berry, Marc Schoenauer
ICMCS
2005
IEEE
124views Multimedia» more  ICMCS 2005»
15 years 10 months ago
Efficient conversion method between subband domain representations
This paper presents an efficient method for the conversion between subband domain representations of different filter banks. It advantageously replaces the conventional cascade of...
Abdellatif Benjelloun Touimi, Adil Mouhssine
CORR
2010
Springer
93views Education» more  CORR 2010»
15 years 4 months ago
On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary
Among the many ways to model signals, a recent approach that draws considerable attention is sparse representation modeling. In this model, the signal is assumed to be generated a...
Javier Turek, Irad Yavneh, Matan Protter, Michael ...
SAC
2003
ACM
15 years 10 months ago
Are Multiagent Algorithms Relevant for Real Hardware? A Case Study of Distributed Constraint Algorithms
Researchers building multi-agent algorithms typically work with abstracted away from real applications. The abstracted problem instances allow systematic and detailed investigatio...
Paul Scerri, Pragnesh Jay Modi, Wei-Min Shen, Mili...
135
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JCIT
2007
126views more  JCIT 2007»
15 years 4 months ago
Rough Petri Net Model (RPNM) For knowledge Representation, Rules Generation and Reasoning
Rough Petri nets model (RPNM) for knowledge representation, rule generation, and reasoning is presented in this paper. An algorithm for verifying the consistency of a rough knowle...
Hala S. Own