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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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by the UNT Libraries Government Documents Department to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 21 times. More information about this article can be viewed below.

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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.

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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. (https://digital.library.unt.edu/ark:/67531/metadc707617/: accessed March 28, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

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