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EGC
2005
Springer
14 years 1 months ago
A Grid-Oriented Genetic Algorithm
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
Jose Herrera, Eduardo Huedo, Rubén S. Monte...
ICML
2006
IEEE
14 years 8 months ago
Regression with the optimised combination technique
We consider the sparse grid combination technique for regression, which we regard as a problem of function reconstruction in some given function space. We use a regularised least ...
Jochen Garcke
AIMSA
2008
Springer
14 years 1 months ago
Incorporating Learning in Grid-Based Randomized SAT Solving
Abstract. Computational Grids provide a widely distributed computing environment suitable for randomized SAT solving. This paper develops techniques for incorporating learning, kno...
Antti Eero Johannes Hyvärinen, Tommi A. Juntt...
ICPR
2010
IEEE
13 years 11 months ago
Inverse Multiple Instance Learning for Classifier Grids
Abstract--Recently, classifier grids have shown to be a considerable alternative for object detection from static cameras. However, one drawback of such approaches is drifting if a...
Sabine Sternig, Peter M. Roth, Horst Bischof
ICRA
2008
IEEE
156views Robotics» more  ICRA 2008»
14 years 1 months ago
How to learn accurate grid maps with a humanoid
Abstract— Humanoids have recently become a popular research platform in the robotics community. Such robots offer various fields for new applications. However, they have several...
Cyrill Stachniss, Maren Bennewitz, Giorgio Grisett...