On Optimal Projective Fusers for Function Estimators

Conference · Tue Jun 22 00:00:00 EDT 1999

OSTI ID:7929

Rao, N S.V.

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 Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Science (SC)
• DOE Contract Number: AC05-96OR22464
• OSTI ID: 7929
• Report Number(s): ORNL/CP-103203; ON: DE00007929
• Resource Relation: Conference: 2nd International Conference on Multisensor-Multisource Information Fusion, Sunnyvale, CA, June 22-23, 1999
• Country of Publication: United States
• Language: English

Related Subjects

99 MATHEMATICS
COMPUTERS
INFORMATION SCIENCE
MANAGEMENT
LAW
MISCELLANEOUS
Functions
Calculation Methods
Optimization