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AMC
2007
154views more  AMC 2007»
15 years 4 months ago
A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become ve...
Jing-Ru Zhang, Jun Zhang, Tat-Ming Lok, Michael R....
BMCBI
2006
179views more  BMCBI 2006»
15 years 4 months ago
Multiscale Hy3S: Hybrid stochastic simulation for supercomputers
Background: Stochastic simulation has become a useful tool to both study natural biological systems and design new synthetic ones. By capturing the intrinsic molecular fluctuation...
Howard Salis, Vassilios Sotiropoulos, Yiannis N. K...
ICASSP
2009
IEEE
15 years 11 months ago
Compressive sensing for sparsely excited speech signals
Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse respo...
Thippur V. Sreenivas, W. Bastiaan Kleijn
DAC
2001
ACM
16 years 5 months ago
Formal Property Verification by Abstraction Refinement with Formal, Simulation and Hybrid Engines
roperty Verification by Abstraction Refinement with Formal, Simulation and Hybrid Engines Dong Wang , Pei-Hsin Ho , Jiang Long , James Kukula Yunshan Zhu , Tony Ma , Robert D...
Dong Wang, Pei-Hsin Ho, Jiang Long, James H. Kukul...
WWW
2005
ACM
16 years 4 months ago
Hybrid semantic tagging for information extraction
The semantic web is expected to have an impact at least as big as that of the existing HTML based web, if not greater. However, the challenge lays in creating this semantic web an...
Ronen Feldman, Binyamin Rosenfeld, Moshe Fresko, B...