A lagrangian-based approach for universum twin bounded support vector machine with its applications

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F23%3A00057406" target="_blank" >RIV/61384399:31140/23:00057406 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/23:10472179
Result on the web
<a href="https://link.springer.com/article/10.1007/s10472-022-09783-5#rightslink" target="_blank" >https://link.springer.com/article/10.1007/s10472-022-09783-5#rightslink</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10472-022-09783-5" target="_blank" >10.1007/s10472-022-09783-5</a>

Result language
angličtina
Original language name
A lagrangian-based approach for universum twin bounded support vector machine with its applications
Original language description
Main topics of the document: support vector machine; twin SVM; universum data; pattern classification; lagrangian function; quadratic programming
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10103 - Statistics and probability

Project
<a href="/en/project/GA22-19353S" target="_blank" >GA22-19353S: Argmax-type estimators from the viewpoint of optimization</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Result description