On Optimal Projective Fusers for Function Estimators
Conference
·
OSTI ID:7929
- ORNL
We propose a fuser that projects different function estimators in different regions of the input space based on the lower envelope of the error curves of the individual estimators. This fuser is shown to be optimal among projective fusers and also to perform at least as well as the best individual estimator. By incorporating an optimal linear fuser as another estimator, this fuser performs at least as well as the optimal linear combination. We illustrate the fuser by combining neural networks trained using different parameters for the network and/or for learning algorithms.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN
- Sponsoring Organization:
- USDOE Office of Science
- DOE Contract Number:
- AC05-96OR22464
- OSTI ID:
- 7929
- Report Number(s):
- ORNL/CP-103203; ON: DE00007929
- Country of Publication:
- United States
- Language:
- English
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