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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