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pro vyhledávání: '"Giulia Fischetti"'
Autor:
Giulia Fischetti, Nicolas Schmid, Simon Bruderer, Guido Caldarelli, Alessandro Scarso, Andreas Henrici, Dirk Wilhelm
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2023)
The identification and characterization of signal regions in Nuclear Magnetic Resonance (NMR) spectra is a challenging but crucial phase in the analysis and determination of complex chemical compounds. Here, we present a novel supervised deep learnin
Externí odkaz:
https://doaj.org/article/62ec030056664e5b8bd457668fae816e
Publikováno v:
Physical Review E
Physical Review E, American Physical Society (APS), 2021, 103 (6), ⟨10.1103/PhysRevE.103.L060401⟩
Physical Review E, American Physical Society (APS), 2021, 103 (6), ⟨10.1103/PhysRevE.103.L060401⟩
We study the recognition capabilities of the Hopfield model with auxiliary hidden layers, which emerge naturally upon a Hubbard-Stratonovich transformation. We show that the recognition capabilities of such a model at zero temperature outperform thos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4db2736004e0d46ff1add14d3b66a6cf
https://hal.archives-ouvertes.fr/hal-03360611
https://hal.archives-ouvertes.fr/hal-03360611