Multi-task twin support vector machine with Universum data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F24%3A00060465" target="_blank" >RIV/61384399:31140/24:00060465 - isvavai.cz</a>
Alternative codes found
RIV/44555601:13440/24:43898373 RIV/00216208:11320/24:10488656
Result on the web
<a href="https://www.sciencedirect.com/science/article/abs/pii/S095219762400109X?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S095219762400109X?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.engappai.2024.107951" target="_blank" >10.1016/j.engappai.2024.107951</a>
Alternative languages
Result language
angličtina
Original language name
Multi-task twin support vector machine with Universum data
Original language description
Main topics of the document: support vector machine; classification; quadratic optimization
Czech name
—
Czech description
—
Classification
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
Result continuities
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)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Engineering Applications of Artificial Intelligence
ISSN
0952-1976
e-ISSN
1873-6769
Volume of the periodical
132
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
15
Pages from-to
"nestrankovano"
UT code for WoS article
001170478900001
EID of the result in the Scopus database
2-s2.0-85183780458