ENSEMBLE LEARNING ALGORITHMS IN PATTERN RECOGNITION TASKS

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dc.contributor.authorAitbayev Y.K.
dc.contributor.authorKabulov B.M.
dc.contributor.authorAmirgaliyev Y.N.
dc.date.accessioned2023-03-14T09:48:20Z
dc.date.available2023-03-14T09:48:20Z
dc.date.issued2016
dc.description.abstractThe article is devoted to the topic of using models of collective decision-making in automated intelligent systems. Under consideration application of these models to solve image recognition problems. Under collective recognition implies the task of using a set of classifiers , each of which decides on the class of one entity with subsequent coordination of solutions using some algorithm.
dc.identifier.citationENSEMBLE LEARNING ALGORITHMS IN PATTERN RECOGNITION TASKS, Aitbayev Y.K., Kabulov B.M., Amirgaliyev Y.N.,
dc.identifier.urihttps://repository.sdu.edu.kz/handle/123456789/174
dc.language.isoen
dc.publisherSuleyman Demirel University
dc.subjectPattern recognition
dc.subjectgroup solutions
dc.subjectcollective analysis
dc.subjectintelligent systems
dc.titleENSEMBLE LEARNING ALGORITHMS IN PATTERN RECOGNITION TASKS
dc.typeArticle
dspace.entity.type

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