ENSEMBLE LEARNING ALGORITHMS IN PATTERN RECOGNITION TASKS
dc.contributor.author | Kabulov B.M. | |
dc.contributor.author | Aitbayev Y.K. | |
dc.contributor.author | Amirgaliyev Y.N. | |
dc.date.accessioned | 2023-10-26T09:33:35Z | |
dc.date.available | 2023-10-26T09:33:35Z | |
dc.date.issued | 2017 | |
dc.description.abstract | Abstract. There has been growing interest in pattern recognition tasks in the last decade. This is determined by the prevalence of the problems that is being solved in recognizing images and characters, scene analysis, technical and medical diagnostics, signal identification, analysis of expert data, speech recognition, creation of expert and artificial intelligence systems. The article is devoted to the topic of collective decision-making models in automated intellectual systems. The application of such models for pattern recognition problems is being considered. What is meant by the term «collective recognition» is the task of using multiple classifiers, each of which will decide on the class of one entity with the subsequent coordination of their decisions with the help of a certain algorithm. | |
dc.identifier.citation | B.M. Kabulov, Y.K. Aitbayev, Y.N. Amirgaliyev / ENSEMBLE LEARNING ALGORITHMS IN PATTERN RECOGNITION TASKS / СДУ хабаршысы - 2017 | |
dc.identifier.issn | 2415-8135 | |
dc.identifier.uri | https://repository.sdu.edu.kz/handle/123456789/592 | |
dc.language.iso | en | |
dc.publisher | СДУ хабаршысы - 2017 | |
dc.subject | pattern recognition | |
dc.subject | group decisions | |
dc.subject | collective analysis | |
dc.subject | intellectual systems. | |
dc.subject | СДУ хабаршысы - 2017 | |
dc.subject | №2 | |
dc.title | ENSEMBLE LEARNING ALGORITHMS IN PATTERN RECOGNITION TASKS | |
dc.type | Article | |
dspace.entity.type |