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pro vyhledávání: '"Fodor, Lidija"'
Motivated by localization problems such as cadastral maps refinements, we consider a generic Nonlinear Least Squares (NLS) problem of minimizing an aggregate squared fit across all nonlinear equations (measurements) with respect to the set of unknown
Externí odkaz:
http://arxiv.org/abs/2312.09064
Akademický článek
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Autor:
Fodor, Lidija
Publikováno v:
CRIS UNS
The significance of distributed optimization algorithms manifests through growing interest in various application domains. It finds its use in Big Data analytics, distributed machine learning, distributed control, vehicle networks and smart grid, int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2987::af625d688d99ad611926659a17c21823
https://www.cris.uns.ac.rs/record.jsf?recordId=120900&source=OpenAIRE&language=en
https://www.cris.uns.ac.rs/record.jsf?recordId=120900&source=OpenAIRE&language=en
Convex clustering has received recently an increased interest as a valuable method for unsupervised learning. Unlike conventional clustering methods such as k-means, its formulation corresponds to solving a convex optimization problem and hence, alle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::67e9a46b0f58cd953cc1f51c8677dc50
https://zenodo.org/record/7379988
https://zenodo.org/record/7379988
Autor:
Alexopoulos, Andreas, Becerra, Yolanda, Boehm, Omer, Bravos, George, Chatzigiannakis, Vasilis, Cugnasco, Cesare, Giorgos Demetriou, Iliada Eleftheriou, Fodor, Lidija, Fotis, Spiros, Sotiris Ioannidis, Dusan Jakovetic, Kallipolitis, Leonidas, Katusic, Vlatka, Kavakli, Evangelia, Kopanaki, Despina, Leventis, Christoforos, Marcos, Mario Maawad, Pozuelo, Ramon Martin De, Martínez, Miquel, Milosevic, Nemanja, Pages, Enric, Ristow, Gerald, Hernan Ruiz-Ocampo, Rizos Sakellariou, Raül Sirvent, Srdjan Skrbic, Spais, Ilias, Giorgos Vasiliadis, Vinov, Michael
A large number of EU organizations already leverage Big Data pools todrive value and investments. This trend also applies to the banking sector. As aspecific example, CaixaBank currently manages more than 300 different datasources (more than 4 PetaBy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30e02ba1e539a223920c76c37cda51b7
Akademický článek
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