182 search results - page 3 / 37 » Neural Network Ensembles from Training Set Expansions |
TSMC
2008
13 years 6 months ago
2008
In this paper, we propose two cooperative ensemble learning algorithms, i.e., NegBagg and NegBoost, for designing neural network (NN) ensembles. The proposed algorithms incremental...
ESANN
2003
13 years 7 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
2003
13 years 7 months ago
2003
This paper presents our approach to the rule extraction problem from trained neural network. A method called REX is briefly described. REX acquires a set of fuzzy rules using an ev...
NIPS
2003
13 years 7 months ago
2003
Most proposals for quantum neural networks have skipped over the problem of how to train the networks. The mechanics of quantum computing are different enough from classical compu...
ISNN
2009
Springer
14 years 18 days ago
2009
Springer
In real-world applications, it has been observed that class imbalance (significant differences in class prior probabilities) may produce an important deterioration of the classifie...