Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Vladislav Polianskii"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 5, Iss 1, Pp 199-236 (2023)
Variational auto-encoders (VAEs) are deep generative models used for unsupervised learning, however their standard version is not topology-aware in practice since the data topology may not be taken into consideration. In this paper, we propose two di
Externí odkaz:
https://doaj.org/article/6fe4d4f9cf01452ea81890add99e010f
Publikováno v:
KDD
Voronoi diagrams and their dual, the Delaunay complex, are two fundamental geometric concepts that lie at the foundation of many machine learning algorithms and play a role in particular in classical piecewise linear interpolation and regression meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb48e757b7ef988aea75dfac674cc197
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-286484
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-286484
Publikováno v:
Machine Learning & Knowledge Extraction; Mar2023, Vol. 5 Issue 1, p199-236, 38p
This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, Lithuania, in September 2024. The papers prese
Autor:
Petre Petrov, Lara Ryazanova-Clarke
The political revolutions which established state socialism in the Soviet Union and Eastern Europe were accompanied by revolutions in the word, as the communist project implied not only remaking the world but also renaming it. As new institutions, so