Samara University Repository
Welcome to the Samara University repository!
This is an open electronic archive created to preserve and disseminate the scientific results of our university. The works of researchers, faculty members, and students are available to everyone for academic and research purposes.
The repository contains dissertations, research articles, educational and methodological materials, monographs, and regulatory documents. The collections cover a wide range of fields: from aerospace technologies, engine engineering, and computer science to history, linguistics, mathematics, and ecology. The archive brings together the scientific heritage of the university, including materials prepared during the period of Samara State Aerospace University and Samara State University.
Looking for publications by author, title, date, or subject? Full-text search will provide relevant results. Want to explore the academic life more closely? Browse materials by the universityâs organizational units.
Descriptions of all publications and articles available in the repository can be found in the libraryâs electronic catalog. Staff and students can log in via the menu "Login -> My Resource Archive" using their personal account credentials (SSAU_id).
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Мелкумова, Л.Э. | |
| dc.contributor.author | Шатских, С.Я. | |
| dc.date | 2017 | |
| dc.date.accessioned | 2025-08-22T12:19:44Z | - |
| dc.date.available | 2025-08-22T12:19:44Z | - |
| dc.date.issued | 2017 | |
| dc.identifier.identifier | Dspace\SGAU\20170523\64145 | |
| dc.identifier.citation | Мелкумова Л.Э. Сравнение методов Ридж-регрессии и LASSO в задачах обработки данных / Л.Э. Мелкумова, С.Я. Шатских // Сборник трудов III международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2017) - Самара: Новая техника, 2017. - С.1748-1755. | |
| dc.identifier.uri | http://repo.ssau.ru/jspui/handle/123456789/13541 | - |
| dc.description.abstract | Работа посвящена сравнению методов линейной регрессии Ридж и LASSO. Преимущества каждого из этих методов рассматриваются на примерах тестовых данных с вычислениями в пакете R. | |
| dc.description.sponsorship | Работа выполнена при поддержке РФФИ (грант № 16-41-630-676, грант № 16-01-00184А). | |
| dc.language | rus | |
| dc.publisher | Новая техника | |
| dc.title | Сравнение методов Ридж-регрессии и LASSO в задачах обработки данных | |
| dc.type | Article | |
| local.identifier.olduri | http://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Sravnenie-metodov-Ridzhregressii-i-LASSO-v-zadachah-obrabotki-dannyh-64145 | |
| local.identifier.olduri | http://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Sravnenie-metodov-Ridzhregressii-i-LASSO-v-zadachah-obrabotki-dannyh-64145 | |
| Appears in Collections: | Информационные технологии и нанотехнологии | |
| File | Description | Size | Format | |
|---|---|---|---|---|
| paper 315_1748-1755.pdf | Основная статья. Раздел: Наука о данных | 1.08 MB | Adobe PDF | View/Open |
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