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GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
13 years 11 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
CEC
2010
IEEE
13 years 10 months ago
Cooperative Co-evolution with delta grouping for large scale non-separable function optimization
— Many evolutionary algorithms have been proposed for large scale optimization. Parameter interaction in nonseparable problems is a major source of performance loss specially on ...
Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao
ICASSP
2010
IEEE
13 years 10 months ago
Evaluation of a stereo audio data hiding method using inter-channel decorrelator polarity
We extensively evaluated a data hiding algorithm for stereo audio signals which embeds data using the polarity of the echoes added to the high-frequency channels, which we have pr...
Kazuhiro Kondo
AHSWN
2008
92views more  AHSWN 2008»
13 years 10 months ago
The (k, l) Coredian Tree for Ad Hoc Networks
In this paper, we present a new efficient strategy for constructing a wireless tree network containing n nodes of diameter while satisfying the QoS requirements such as bandwidth...
Amit Dvir, Michael Segal
ANOR
2007
80views more  ANOR 2007»
13 years 10 months ago
The minimum shift design problem
The min-SHIFT DESIGN problem (MSD) is an important scheduling problem that needs to be solved in many industrial contexts. The issue is to find a minimum number of shifts and the...
Luca Di Gaspero, Johannes Gärtner, Guy Kortsa...
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