Anzeige
Erschienen in:
1999 | OriginalPaper | Buchkapitel
A Sequential Modification of EM Algorithm
verfasst von : J. Grim
Erschienen in: Classification in the Information Age
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
In the framework of estimating finite mixture distributions we consider a sequential learning scheme which is equivalent to the EM algorithm in case of a repeatedly applied finite set of observations. A typical feature of the sequential version of the EM algorithm is a periodical substitution of the estimated parameters. The different computational aspects of the considered scheme are illustrated by means of artificial data randomly generated from a multivariate Bernoulli distribution.