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COLT
1997
Springer
15 years 4 months ago
General Convergence Results for Linear Discriminant Updates
The problem of learning linear discriminant concepts can be solved by various mistake-driven update procedures, including the Winnow family of algorithms and the well-known Percep...
Adam J. Grove, Nick Littlestone, Dale Schuurmans
FOCS
1993
IEEE
15 years 4 months ago
Scale-sensitive Dimensions, Uniform Convergence, and Learnability
Learnability in Valiant’s PAC learning model has been shown to be strongly related to the existence of uniform laws of large numbers. These laws define a distribution-free conver...
Noga Alon, Shai Ben-David, Nicolò Cesa-Bian...
ICASSP
2007
IEEE
15 years 3 months ago
Acoustic Echo Cancellation for Surround Sound using Perceptually Motivated Convergence Enhancement
Acoustic Echo Cancellation (AEC) has become an essential and wellknown enabling technology for hands-free communication and human-machine interfaces. AEC for two or more reproduct...
Jürgen Herre, Herbert Buchner, Walter Kellerm...
CEC
2005
IEEE
15 years 1 months ago
Rank and proximity based crossover (RPC) to improve convergence in genetic search
A new crossover technique, we named Rank and Proximity Based Crossover (RPC), to improve the speed and quality of solutions in Genetic search, is proposed. In the proposed strategy...
Goutam Chakraborty, Basabi Chakraborty
CEC
2010
IEEE
15 years 1 months ago
On convergence of multi-objective Particle Swarm Optimizers
Several variants of the Particle Swarm Optimization (PSO) algorithm have been proposed in recent past to tackle the multi-objective optimization problems based on the concept of Pa...
Prithwish Chakraborty, Swagatam Das, Ajith Abraham...