Methodology of semi-supervised algorithm selection for classification problems

Gespeichert in:
Bibliographische Detailangaben
Datum:2022
Hauptverfasser: V. Sineglazov, K. Lesohorskyi
Format: Artikel
Sprache:Englisch
Veröffentlicht: 2022
Schriftenreihe:Artificial intelligence
Online Zugang:http://jnas.nbuv.gov.ua/article/UJRN-0001396133
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:Library portal of National Academy of Sciences of Ukraine | LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS
_version_ 1859482727341883392
author V. Sineglazov
K. Lesohorskyi
author_facet V. Sineglazov
K. Lesohorskyi
author_sort V. Sineglazov
collection Open-Science
first_indexed 2025-07-17T10:56:45Z
format Article
id open-sciencenbuvgovua-3794
institution Library portal of National Academy of Sciences of Ukraine | LibNAS
language English
last_indexed 2025-07-17T10:56:45Z
publishDate 2022
record_format dspace
series Artificial intelligence
spelling open-sciencenbuvgovua-37942023-09-12T18:02:20Z Methodology of semi-supervised algorithm selection for classification problems V. Sineglazov K. Lesohorskyi 2710-1673 2022 en Artificial intelligence http://jnas.nbuv.gov.ua/article/UJRN-0001396133 Article
spellingShingle Artificial intelligence
V. Sineglazov
K. Lesohorskyi
Methodology of semi-supervised algorithm selection for classification problems
title Methodology of semi-supervised algorithm selection for classification problems
title_full Methodology of semi-supervised algorithm selection for classification problems
title_fullStr Methodology of semi-supervised algorithm selection for classification problems
title_full_unstemmed Methodology of semi-supervised algorithm selection for classification problems
title_short Methodology of semi-supervised algorithm selection for classification problems
title_sort methodology of semi-supervised algorithm selection for classification problems
url http://jnas.nbuv.gov.ua/article/UJRN-0001396133
work_keys_str_mv AT vsineglazov methodologyofsemisupervisedalgorithmselectionforclassificationproblems
AT klesohorskyi methodologyofsemisupervisedalgorithmselectionforclassificationproblems