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pro vyhledávání: '"Mladenovic A"'
Autor:
Weilenmann, Christoph, Ziogas, Alexandros, Zellweger, Till, Portner, Kevin, Mladenović, Marko, Kaniselvan, Manasa, Moraitis, Timoleon, Luisier, Mathieu, Emboras, Alexandros
Biological neural networks do not only include long-term memory and weight multiplication capabilities, as commonly assumed in artificial neural networks, but also more complex functions such as short-term memory, short-term plasticity, and meta-plas
Externí odkaz:
http://arxiv.org/abs/2402.16628
Approximating invariant subspaces of generalized eigenvalue problems (GEPs) is a fundamental computational problem at the core of machine learning and scientific computing. It is, for example, the root of Principal Component Analysis (PCA) for dimens
Externí odkaz:
http://arxiv.org/abs/2311.10459
Bayesian Persuasion is proposed as a tool for social media platforms to combat the spread of misinformation. Since platforms can use machine learning to predict the popularity and misinformation features of to-be-shared posts, and users are largely m
Externí odkaz:
http://arxiv.org/abs/2310.12065
Autor:
Mladenovic Ana, Markovic Zeljko, Radenković Sandra, Orbovic Bojana, Mirčetić Vladimir, Tomašek Goran
Publikováno v:
Open Life Sciences, Vol 9, Iss 10, Pp 967-972 (2014)
Externí odkaz:
https://doaj.org/article/cae0f03c05e747e3ad57375b2376900e
In Valence Change Memory (VCM) cells, the conductance of an insulating switching layer is reversibly modulated by creating and redistributing point defects under an external field. Accurate simulations of the switching dynamics of these devices can b
Externí odkaz:
http://arxiv.org/abs/2212.14090
Recent methods for deep metric learning have been focusing on designing different contrastive loss functions between positive and negative pairs of samples so that the learned feature embedding is able to pull positive samples of the same class close
Externí odkaz:
http://arxiv.org/abs/2210.04402
We present a framework dedicated to modelling the resistive switching operation of Valence Change Memory (VCM) cells. The method combines an atomistic description of the device structure, a Kinetic Monte Carlo (KMC) model for the creation and diffusi
Externí odkaz:
http://arxiv.org/abs/2207.01095
Publikováno v:
Pattern Recognition, Volume 137, 2023, 109269, ISSN 0031-3203
K-means plays a vital role in data mining and is the simplest and most widely used algorithm under the Euclidean Minimum Sum-of-Squares Clustering (MSSC) model. However, its performance drastically drops when applied to vast amounts of data. Therefor
Externí odkaz:
http://arxiv.org/abs/2204.07485
Autor:
Gandara, Meriene, de Arruda, Milena Nakagawa, Assis, João Marcos Kruszynski, Martins, Marta de Jesus Oliveira, Rakočević, Lazar, Mladenović, Dušan, Šljukić, Biljana, Gonçalves, Emerson Sarmento
Publikováno v:
In Applied Materials Today October 2024 40
Publikováno v:
In Computers and Operations Research October 2024 170