The main contribution of this paper is to suggest a novel technique for automatic creation of accurate ensembles. The technique proposed, named GEMS, first trains a large number o...
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
Abstract. The literature suggests that an ensemble of classifiers outperforms a single classifier across a range of classification problems. This paper investigates the applicat...
This paper proposes the use of neural network ensembles to boost the performance of a neural network based surface reconstruction algorithm. Ensemble is a very popular and powerfu...
Ioannis P. Ivrissimtzis, Yunjin Lee, Seungyong Lee...