Zobrazeno 1 - 3
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pro vyhledávání: '"Hippolyte Léger"'
Autor:
Alia Rukubayihunga, Mehdi Chouiten, Eren Unlu, Oleksandr Motornyi, Thibaud Ishacian, Hippolyte Léger
The COVID-19 pandemic has triggered world-wide attention among data scientists and epidemiologists to analyze and predict the outcomes, by using previous statistical epidemic models. We propose to use a variant of the well known SEIR model to analyze
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d68ab677838240b0276cd2f626e42f2b
https://doi.org/10.1101/2020.04.27.20079962
https://doi.org/10.1101/2020.04.27.20079962
Publikováno v:
ICTAI
The θ-subsumption test is known to be a bottleneck in Inductive Logic Programming. The state-of-the-art learning systems in this field are hardly scalable. Last year, we have created a distributed θ-subsumption process based on an Actor Model, with
Publikováno v:
International Journal on Artificial Intelligence Tools. 27:1860011
The θ-subsumption test is known to be a bottleneck in Inductive Logic Programming. The state-of-the-art learning systems in this field are hardly scalable. Last year, we have created a distributed θ-subsumption process based on an Actor Model, with