Title

Ensembles of hybrid intelligent experts: Extending the power of optimal linear combiners

Abstract

In the present paper we generalize the idea of Optimal Linear Combiners that are used to aggregate information from different sources providing estimates about a specific quantity. Two linear models are introduced, along with their analysis, which combine related components of information when more than one variable is to be predicted. The models' purpose is to produce point estimates of better accuracy in terms of mean squared error. Experimental results dealing with a functional approximation problem demonstrate that the generalized Optimal Linear Combiners suggested yield higher accuracy when compared to other combiners such as the Simple Average, or the conventional Optimal Linear Combiners.

Publication Date

12-1-1997

Publication Title

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

Volume

2

Number of Pages

1350-1355

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

0031335325 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0031335325

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