10 search results - page 2 / 2 » Evolutionary random neural ensembles based on negative corre... |
ESANN
2006
13 years 6 months ago
2006
Abstract. The EENCL algorithm [1] automatically designs neural network ensembles for classification, combining global evolution with local search based on gradient descent. Two mec...
TKDE
2008
13 years 5 months ago
2008
UCS is a supervised learning classifier system that was introduced in 2003 for classification in data mining tasks. The representation of a rule in UCS as a univariate classificati...
CIDM
2009
IEEE
14 years 2 days ago
2009
IEEE
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
PR
2007
13 years 4 months ago
2007
In this paper, we propose a new constructive method, based on cooperative coevolution, for designing automatically the structure of a neural network for classification. Our appro...
CORR
2011
Springer
13 years 10 days ago
2011
Springer
Valiant’s (2007) model of evolvability models the evolutionary process of acquiring useful functionality as a restricted form of learning from random examples. Linear threshold ...