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ATAL
2010
Springer
15 years 7 months ago
Distributed multiagent learning with a broadcast adaptive subgradient method
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...
MICCAI
2009
Springer
16 years 7 months ago
Tracked Regularized Ultrasound Elastography for Targeting Breast Radiotherapy
Tracked ultrasound elastography can be used for guidance in partial breast radiotherapy by visualizing the hard scar tissue around the lumpectomy cavity. For clinical success, the ...
Hassan Rivaz, Pezhman Foroughi, Ioana Fleming, ...
ISBI
2008
IEEE
16 years 29 days ago
Examining associations between FMRI and EEG data using canonical correlation analysis
Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) provide complementary information about the brain function. We propose a novel scheme to examine asso...
Nicolle M. Correa, Yi-Ou Li, Tülay Adali, Vin...
FOCI
2007
IEEE
16 years 27 days ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
CEC
2005
IEEE
16 years 5 days ago
Constraint quadratic approximation operator for treating equality constraints with genetic algorithms
Abstract- This paper presents a new operator for genetic algorithms that enhances their convergence in the case of nonlinear problems with nonlinear equality constraints. The propo...
Elizabeth F. Wanner, Frederico G. Guimarães...