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A method of combining multiple probabilistic classifiers through soft competition on different feature sets

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Publication:1271785
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DOI10.1016/S0925-2312(98)00019-8zbMath0908.68135OpenAlexW2015772285WikidataQ58935225 ScholiaQ58935225MaRDI QIDQ1271785

Huisheng Chi, Ke Chen

Publication date: 11 November 1998

Published in: Neurocomputing (Search for Journal in Brave)

Full work available at URL: http://www.elsevier.com/locate/neucom


zbMATH Keywords

expectation-maximization algorithmspeaker identificationclassification performance


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)


Related Items (4)

On the linear combination of exponential and gamma random variables ⋮ On the Linear Combination of Laplace and Logistic Random Variables ⋮ Plurality voting-based multiple classifier systems: statistically independent with respect to dependent classifier sets ⋮ Sums, products, and ratios for the bivariate Gumbel distribution







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