To fuse or not to fuse: Fuser versus best classifier

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A sample from a class defined on a finite-dimensional Euclidean space and distributed according to an unknown distribution is given. The authors are given a set of classifiers each of which chooses a hypothesis with least misclassification error from a family of hypotheses. They address the question of choosing the classifier with the best performance guarantee versus combining the classifiers using a fuser. They first describe a fusion method based on isolation property such that the performance guarantee of the fused system is at least as good as the best of the classifiers. For a more restricted case of deterministic ... continued below

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13 p.

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Rao, N. S. April 1, 1998.

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Description

A sample from a class defined on a finite-dimensional Euclidean space and distributed according to an unknown distribution is given. The authors are given a set of classifiers each of which chooses a hypothesis with least misclassification error from a family of hypotheses. They address the question of choosing the classifier with the best performance guarantee versus combining the classifiers using a fuser. They first describe a fusion method based on isolation property such that the performance guarantee of the fused system is at least as good as the best of the classifiers. For a more restricted case of deterministic classes, they present a method based on error set estimation such that the performance guarantee of fusing all classifiers is at least as good as that of fusing any subset of classifiers.

Physical Description

13 p.

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OSTI as DE98005063

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  • 12. annual international symposium on aerospace/defense sensing, simulation and controls, Orlando, FL (United States), 13-19 Apr 1998

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  • Other: DE98005063
  • Report No.: ORNL/CP--97084
  • Report No.: CONF-980412--
  • Grant Number: AC05-96OR22464
  • Office of Scientific & Technical Information Report Number: 658387
  • Archival Resource Key: ark:/67531/metadc707617

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • April 1, 1998

Added to The UNT Digital Library

  • Sept. 12, 2015, 6:31 a.m.

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  • June 23, 2016, 12:44 p.m.

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Rao, N. S. To fuse or not to fuse: Fuser versus best classifier, article, April 1, 1998; Tennessee. (digital.library.unt.edu/ark:/67531/metadc707617/: accessed January 18, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.