Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Sabzevari, Maryam"'
Autor:
Esposito, Matteo, Sabzevari, Maryam Tavassoli, Ye, Boshuai, Falessi, Davide, Khan, Arif Ali, Taibi, Davide
Quantum computing, albeit readily available as hardware or emulated on the cloud, is still far from being available in general regarding complex programming paradigms and learning curves. This vision paper introduces $Classi|Q\rangle$, a translation
Externí odkaz:
http://arxiv.org/abs/2406.06764
Quantum Computing (QC) is transitioning from theoretical frameworks to an indispensable powerhouse of computational capability, resulting in extensive adoption across both industrial and academic domains. QC presents exceptional advantages, including
Externí odkaz:
http://arxiv.org/abs/2403.08663
In ensemble methods, the outputs of a collection of diverse classifiers are combined in the expectation that the global prediction be more accurate than the individual ones. Heterogeneous ensembles consist of predictors of different types, which are
Externí odkaz:
http://arxiv.org/abs/1802.07877
Vote-boosting is a sequential ensemble learning method in which the individual classifiers are built on different weighted versions of the training data. To build a new classifier, the weight of each training instance is determined in terms of the de
Externí odkaz:
http://arxiv.org/abs/1606.09458
Publikováno v:
EURASIP Journal on Information Security; 9/10/2024, Vol. 2024 Issue 1, p1-15, 15p
Publikováno v:
In Pattern Recognition November 2018 83:119-133
Publikováno v:
In Neurocomputing 31 January 2018 275:2374-2383
Autor:
Sabzevari, Maryam1 (AUTHOR) maryam.sabzevari@aalto.fi, Szedmak, Sandor1 (AUTHOR), Penttilä, Merja2 (AUTHOR), Jouhten, Paula2 (AUTHOR), Rousu, Juho1 (AUTHOR)
Publikováno v:
PLoS Computational Biology. 6/3/2022, Vol. 18 Issue 6, p1-18. 18p. 1 Diagram, 2 Charts, 4 Graphs.
Publikováno v:
In Neurocomputing 21 July 2015 160:18-33
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