311 search results - page 29 / 63 » Improving the performance of evolutionary algorithms for dec... |
ICANN
2010
Springer
13 years 6 months ago
2010
Springer
The aim of this paper is to study the use of Evolutionary Multiobjective Techniques to improve the performance of Neural Networks (NN). In particular, we will focus on classificati...
NIPS
2007
13 years 10 months ago
2007
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
This article describes a mathematical framework for characterizing cooperativity in complex systems subject to evolutionary pressures. This framework uses three foundational compo...
GECCO
2010
Springer
14 years 20 days ago
2010
Springer
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
PKDD
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...