Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mikhail Kamalov"'
Publikováno v:
2021 29th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b09f53fbca166ba5bc4b5e4b6dc99f6
https://doi.org/10.23919/eusipco54536.2021.9615924
https://doi.org/10.23919/eusipco54536.2021.9615924
Publikováno v:
Learning and Intelligent Optimization (LION 2021)
Learning and Intelligent Optimization (LION 2021), Jun 2021, Athens, Greece. pp.25-39, ⟨10.1007/978-3-030-92121-7_3⟩
LION 2021-15th Learning and Intelligent Optimization Conference
LION 2021-15th Learning and Intelligent Optimization Conference, Jun 2021, Athens, Greece. pp.25-39, ⟨10.1007/978-3-030-92121-7_3⟩
Lecture Notes in Computer Science ISBN: 9783030921200
Learning and Intelligent Optimization (LION 2021), Jun 2021, Athens, Greece. pp.25-39, ⟨10.1007/978-3-030-92121-7_3⟩
LION 2021-15th Learning and Intelligent Optimization Conference
LION 2021-15th Learning and Intelligent Optimization Conference, Jun 2021, Athens, Greece. pp.25-39, ⟨10.1007/978-3-030-92121-7_3⟩
Lecture Notes in Computer Science ISBN: 9783030921200
International audience; A novel framework called Graph Diffusion & PCA (GDPCA) is proposed in the context of semi-supervised learning on graph structured data. It combines a modified Principal Component Analysis with the classical supervised loss and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::439665a61673861d7d06720e5c813958
https://hal.inria.fr/hal-03477308/file/LION2021_author_version.pdf
https://hal.inria.fr/hal-03477308/file/LION2021_author_version.pdf
Publikováno v:
INL 2020-9th Conference on Artificial Intelligence and Natural Language
INL 2020-9th Conference on Artificial Intelligence and Natural Language, Oct 2020, Helsinki, Finland. pp.158-165, ⟨10.1007/978-3-030-59082-6_12⟩
Communications in Computer and Information Science ISBN: 9783030590819
INL 2020-9th Conference on Artificial Intelligence and Natural Language, Oct 2020, Helsinki, Finland. pp.158-165, ⟨10.1007/978-3-030-59082-6_12⟩
Communications in Computer and Information Science ISBN: 9783030590819
International audience; Nowadays, Semi-Supervised Learning (SSL) on citation graph data sets is a rapidly growing area of research. However, the recently proposed graph-based SSL algorithms use a default adjacency matrix with binary weights on edges
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e16c5a73d9168b94fda937255893d0da
https://hal.inria.fr/hal-02977308/document
https://hal.inria.fr/hal-02977308/document
Publikováno v:
2017 Constructive Nonsmooth Analysis and Related Topics (dedicated to the memory of V.F. Demyanov) (CNSA).
Nowadays the online learning area is actively developing as a part of machine learning. In this regard, there arises the problem of choosing an algorithm that solves the optimization problem with regard to online data processing. Since currently one
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00a6f48cd6b48a7a495461083214adce
https://doi.org/10.1109/cnsa.2017.7973967
https://doi.org/10.1109/cnsa.2017.7973967