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A sequential nonparametric pattern classification algorithm based on the Wald SPRTA sequential nonparametric pattern classification procedure is presented. The method presented is an estimated version of the Wald sequential probability ratio test (SPRT). This method utilizes density function estimates, and the density estimate used is discussed, including a proof of convergence in probability of the estimate to the true density function. The classification procedure proposed makes use of the theory of order statistics, and estimates of the probabilities of misclassification are given. The procedure was tested on discriminating between two classes of Gaussian samples and on discriminating between two kinds of electroencephalogram (EEG) responses.
Document ID
19750035853
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Poage, J. L.
(U.S. Department of Transportation, Transportation Systems Center Cambridge, Mass., United States)
Date Acquired
August 8, 2013
Publication Date
January 1, 1975
Subject Category
Cybernetics
Accession Number
75A19925
Funding Number(s)
CONTRACT_GRANT: NGL-22-007-143
Distribution Limits
Public
Copyright
Other

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