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» Iterative Learning Control - Monotonicity and Optimization
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GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
15 years 1 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro
ECCV
2008
Springer
14 years 11 months ago
Unsupervised Classification and Part Localization by Consistency Amplification
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...
CCS
2004
ACM
15 years 3 months ago
Private inference control
Access control can be used to ensure that database queries pertaining to sensitive information are not answered. This is not enough to prevent users from learning sensitive inform...
David P. Woodruff, Jessica Staddon
CEC
2009
IEEE
15 years 4 months ago
On-line neuroevolution applied to The Open Racing Car Simulator
— The application of on-line learning techniques to modern computer games is a promising research direction. In fact, they can be used to improve the game experience and to achie...
Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
ICRA
2006
IEEE
210views Robotics» more  ICRA 2006»
15 years 4 months ago
Programmable Central Pattern Generators: an Application to Biped Locomotion Control
— We present a system of coupled nonlinear oscillators to be used as programmable central pattern generators, and apply it to control the locomotion of a humanoid robot. Central ...
Ludovic Righetti, Auke Jan Ijspeert