Multi-objective Ensemble Construction, Learning and Evolution (2008)
Abstract. An ensemble of learning machines has been theoretically and empirically shown to generalise better than single learners. Diversity and accuracy are two key properties that ensemble members...
Evolutionary Framework for the Construction of Diverse Hybrid Ensembles (2008)
Abstract. Enforcing diversity explicitly in ensembles while at the same time making individual predictors accurate as well has been shown to be promising. This idea was recently taken into account in...
DIVACE: Diverse and Accurate Ensemble Learning Algorithm (2008)
Abstract. In order for a neural network ensemble to generalise properly, two factors are considered vital. One is the diversity and the other is the accuracy of the networks that comprise the...