641 search results - page 37 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
ICMLA
2010
14 years 7 months ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
PAKDD
1998
ACM
15 years 1 months ago
1998
ACM
Abstract. Approaches to data mining proposed so far are mainly symbolic decision trees and numerical feedforward neural networks methods. While decision trees give, in many cases, ...
ICANN
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. In this paper we present a novel method for pruning redundant weights of a trained multilayer Perceptron (MLP). The proposed method is based on the correlation analysis o...
METMBS
2004
14 years 11 months ago
2004
In this thesis we compare several machine learning techniques for evaluating external skeletal fixation proposals. We experimented in the context of dog bone fractures but the pot...
3DPVT
2004
IEEE
15 years 1 months ago
2004
IEEE
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...