135 search results - page 13 / 27 » Ensembles of Multi-Instance Neural Networks |
ICONIP
2008
13 years 9 months ago
2008
Abstract. The concept of Ensemble Learning has been shown to increase predictive power over single base learners. Given the bias-variancecovariance decomposition, diversity is char...
ESANN
2003
13 years 8 months ago
2003
Abstract. We study various ensemble methods for hybrid neural networks. The hybrid networks are composed of radial and projection units and are trained using a deterministic algori...
ESANN
2004
13 years 9 months ago
2004
Ensemble algorithms can improve the performance of a given learning algorithm through the combination of multiple base classifiers into an ensemble. In this paper, the idea of usin...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— We propose a modeling framework based on the event-driven paradigm for populations of neurons which interchange messages. Unlike other strategies our approach is focused on the...
ESANN
2006
13 years 8 months ago
2006
This paper presents a new method for constructing ensembles of classifiers based on immune network theory, one of the most interesting paradigms within the field of artificial imm...