A Comparison of New and Old Algorithms for a Mixture Estimation Problem

We investigate the problem of estimating the proportion vector which maximizes the likelihood of a given sample for a mixture of given densities. We adapt a framework developed for supervised learning and give simple derivations for many of the standard iterative algorithms like gradient projection...

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Bibliographic Details
Published in:Machine learning Vol. 27; no. 1; pp. 97 - 119
Main Authors: Helmbold, David P., Schapire, Robert E., Singer, Yoram, Warmuth, Manfred K.
Format: Journal Article
Language:English
Published: Dordrecht Springer Nature B.V 1997
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ISSN:0885-6125, 1573-0565
Online Access:Get full text
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