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Selecting Informative Variables in the Identification Problem
Автор | Eugene D. Mihov | |
Автор | Oleg V. Nepomnyashchiy | |
Дата внесения | 2018-02-07T07:24:00Z | |
Дата, когда ресурс стал доступен | 2018-02-07T07:24:00Z | |
Дата публикации | 2016-12 | |
Библиографическое описание | Eugene D. Mihov. Selecting Informative Variables in the Identification Problem [Текст] / Eugene D. Mihov, Oleg V. Nepomnyashchiy // Journal of Siberian Federal University. Mathematics & Physics. — 2016. — Т. 9 (№ 4). — С. 478-485 | |
URI (для ссылок/цитирований) | http://journal.sfu-kras.ru/number/29983 | |
URI (для ссылок/цитирований) | https://elib.sfu-kras.ru/handle/2311/69533 | |
Аннотация | The problem of multidimensional object classification with small training sample is considered. The following algorithms of estimating variable informativeness are considered: Ad, Del, AdDel. A new algorithm for selecting informative variables is proposed. It is based on the optimization of the coefficient vector of the kernel fuzziness. Some modification of this algorithm is also discussed. The comparative analysis of existing methods for selecting informative variables is presented. | |
Тема | classification | |
Тема | small training sample | |
Тема | informative variable | |
Тема | optimization of the coefficient vector of the kernel fuzziness | |
Название | Selecting Informative Variables in the Identification Problem | |
Тип | Journal Article | |
Тип | Published Journal Article | |
Страницы | 478-485 | |
ГРНТИ | 27.23 | |
Дата обновления | 2018-02-07T07:24:00Z | |
DOI | 10.17516/1997-1397-2016-9-4-478-485 | |
Институт | Институт космических и информационных технологий | |
Подразделение | Кафедра вычислительной техники | |
Журнал | Journal of Siberian Federal University. Mathematics & Physics | |
Квартиль журнала в Scopus | Q4 |