BOOSTING PERFORMANCE IN NEURAL NETWORKS
A boosting algorithm, based on the probably approximately correct (PAC) learning model is used to construct an ensemble of neural networks that significantly improves performanc...
Publications
4 shownImproving Performance in Neural Networks Using a Boosting Algorithm
A boosting algorithm converts a learning machine with error rate less than 50% to one with an arbitrarily low error rate. However, the algorithm discussed here depends on having...
Boosting and Other Ensemble Methods
We compare the performance of three types of neural network-based ensemble techniques to that of a single neural network. The ensemble algorithms are two versions of boosting an...
Boosting Decision Trees
We introduce a constructive, incremental learning system for regression problems that models data by means of locally linear experts. In contrast to other approaches, the expert...
Frequent Co-Authors
Researcher Info
- h-index
- 4
- Publications
- 4
- Citations
- 925
- Institution
- AT&T (United States)
External Links
Impact Metrics
h-index
4
h-index: Number of publications with at least h citations each.