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164
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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 7 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
107
Voted
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
15 years 7 months ago
PSO and multi-funnel landscapes: how cooperation might limit exploration
Particle Swarm Optimization (PSO) is a population-based optimization method in which search points employ a cooperative strategy to move toward one another. In this paper we show ...
Andrew M. Sutton, Darrell Whitley, Monte Lunacek, ...
139
Voted
CEC
2010
IEEE
15 years 4 months ago
Linear antenna array synthesis using fitness-adaptive differential evolution algorithm
-- Design of non-uniform linear antenna arrays is one of the most important electromagnetic optimization problems of current interest. In this article, an adaptive Differential Evo...
Aritra Chowdhury, Ritwik Giri, Arnob Ghosh, Swagat...
142
Voted
AVSS
2007
IEEE
15 years 9 months ago
Model-based human posture estimation for gesture analysis in an opportunistic fusion smart camera network
In multi-camera networks rich visual data is provided both spatially and temporally. In this paper a method of human posture estimation is described incorporating the concept of a...
Chen Wu, Hamid K. Aghajan
133
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ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
15 years 10 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...