641 search results - page 44 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
129
Voted
ICTAI
2007
IEEE
15 years 9 months ago
2007
IEEE
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
139
Voted
NPL
1998
15 years 3 months ago
1998
A new architecture and method for feature selection and extraction of logical rules from neural networks trained with backpropagation algorithm is presented. The network consists ...
138
Voted
IDA
2002
Springer
15 years 3 months ago
2002
Springer
This paper introduces a strategy for training ensemble classifiers by analysing boosting within margin theory. We present a bound on the generalisation error of ensembled classifi...
124
Voted
ECAI
1998
Springer
15 years 7 months ago
1998
Springer
This paper presents a neural network approach to the problem of nding the dialogue act for a given utterance. So far only symbolic, decision tree and statistical approaches were ut...
160
Voted
ESANN
2004
15 years 5 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...