Zobrazeno 1 - 10
of 177
pro vyhledávání: '"Younès Bennani"'
Publikováno v:
Machine Learning. 111:4159-4182
The main objective of this report is to understand the main factors that may help to solve fault tree analysis problems using quantum algorithms. It turns out that fault tree analysis can be considered an extended variant of Boolean Satisfiability Pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98c9ba7ff323ecfc38b792f9be69aa81
Publikováno v:
Journal of Intelligent Systems, Vol 30, Iss 1, Pp 698-719 (2021)
Collaborative learning has recently achieved very significant results. It still suffers, however, from several issues, including the type of information that needs to be exchanged, the criteria for stopping and how to choose the right collaborators.
Publikováno v:
Journal of Intelligent Systems, Vol 30, Iss 1, Pp 327-345 (2020)
The interest in data anonymization is exponentially growing, motivated by the will of the governments to open their data. The main challenge of data anonymization is to find a balance between data utility and the amount of disclosure risk. One of the
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783031083327
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccfc4f13ff93c68eb388725cfbee1a09
https://doi.org/10.1007/978-3-031-08333-4_5
https://doi.org/10.1007/978-3-031-08333-4_5
Publikováno v:
Studies in Big Data ISBN: 9783030952389
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e622cdb7a00093d6e4c0e097416b1e3b
https://doi.org/10.1007/978-3-030-95239-6_5
https://doi.org/10.1007/978-3-030-95239-6_5
Publikováno v:
Studies in Big Data ISBN: 9783030952389
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::679bd9015730b9c38d4b2112f91c9dbc
https://doi.org/10.1007/978-3-030-95239-6_7
https://doi.org/10.1007/978-3-030-95239-6_7
Publikováno v:
Machine Learning
One of the most used techniques among many others in the data mining field is the clustering. The aim of this technique is to synthetize and summarize huge amounts of data by splitting it into small and homogenous clusters such that the data (observa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::406446ed43e9c47b2317a584441e7b18
http://www.intechopen.com/articles/show/title/relational-analysis-for-clustering-consensus
http://www.intechopen.com/articles/show/title/relational-analysis-for-clustering-consensus
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030923068
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc8f5ed2dcaf6fdca7e9abf1b8e13ee2
https://doi.org/10.1007/978-3-030-92307-5_78
https://doi.org/10.1007/978-3-030-92307-5_78
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030736880
SoCPaR
SoCPaR
Semi Non-negative Matrix Factorization (SNMF) is a machine learning algorithm that is used to decompose large data matrices where the data matrix is unconstrained (i.e., it may have mixed signs). We develop the quantum version of SNMF using quantum g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da49e682eba347971026cb9f99360528
https://doi.org/10.1007/978-3-030-73689-7_14
https://doi.org/10.1007/978-3-030-73689-7_14