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ROBOCUP
2004
Springer
114views Robotics» more  ROBOCUP 2004»
15 years 9 months ago
Evolutionary Gait-Optimization Using a Fitness Function Based on Proprioception
Abstract. This paper presents a new approach to optimize gait parameter sets using evolutionary algorithms. It separates the crossover-step of the evolutionary algorithm into an in...
Thomas Röfer
JAMDS
2000
90views more  JAMDS 2000»
15 years 3 months ago
Stratified filtered sampling in stochastic optimization
We develop a methodology for evaluating a decision strategy generated by a stochastic optimization model. The methodology is based on a pilot study in which we estimate the distri...
Robert Rush, John M. Mulvey, John E. Mitchell, Tho...
CACM
2011
120views more  CACM 2011»
14 years 10 months ago
The sequence memoizer
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Jan Gasthaus, Cédric Archambeau...
EVOW
2006
Springer
15 years 7 months ago
Evolving the Structure of the Particle Swarm Optimization Algorithms
A new model for evolving the structure of a Particle Swarm Optimization (PSO) algorithm is proposed in this paper. The model is a hybrid technique that combines a Genetic Algorithm...
Laura Diosan, Mihai Oltean
ICASSP
2008
IEEE
15 years 10 months ago
Composite hypothesis testing by optimally distinguishable distributions
Relying on optimally distinguishable distributions (ODD), it was defined very recently a new framework for the composite hypothesis testing. We resort to the linear model to inve...
Seyed Alireza Razavi, Ciprian Doru Giurcaneanu