127 search results - page 2 / 26 » Bayesian Evolutionary Optimization Using Helmholtz Machines |
JMLR
2012
11 years 7 months ago
2012
We propose a new method for comparing learning algorithms on multiple tasks which is based on a novel non-parametric test that we call the Poisson binomial test. The key aspect of...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
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...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Computer aided NC-path generation of five-axis milling using a standard CAM-system does usually not take machine dynamics and kinematics into account. This results in machine move...
GECCO
2007
Springer
13 years 9 months ago
2007
Springer
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
With resemblance of finite-state machines to some biological mechanisms in cells and numerous applications of finite automata in different fields, this paper uses analogies an...