Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Hélène Masson"'
Publikováno v:
Building Bridges between Soft and Statistical Methodologies for Data Science ISBN: 9783031155086
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::006a1530ba3a2f0119ff9fea61bfd9ca
https://doi.org/10.1007/978-3-031-15509-3_51
https://doi.org/10.1007/978-3-031-15509-3_51
Publikováno v:
Soft Computing
Soft Computing, Springer Verlag, 2021, 25, pp.9285-9305
Soft Computing, Springer Verlag, 2021, 25, pp.9285-9305
International audience; Dealing with partially known or missing data is a common problem in machine learning. This work is interested in the problem of querying the true value of data to improve the quality of the learned model, when those data are o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c9aee260d50a2a00c71a1399ce52f69
https://doi.org/10.1007/s00500-021-05872-5
https://doi.org/10.1007/s00500-021-05872-5
Publikováno v:
Expert Systems with Applications. 213:118883
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48d05bcf933c342ce8b6a49b595691c2
https://doi.org/10.1016/j.eswa.2022.118883
https://doi.org/10.1016/j.eswa.2022.118883
Autor:
Hélène Masson
Publikováno v:
Revue Défense Nationale. :61-66
Le panorama de l’industrie de defense en Europe est complexe avec des situations et des ambitions tres differentes, en particulier liees a la relation avec les Etats-Unis. Les asymetries sont nombreuses, d’ou la difficulte de passer du discours i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93742d10b562122b400bce43473d88ae
https://doi.org/10.3917/rdna.832.0061
https://doi.org/10.3917/rdna.832.0061
Publikováno v:
Finance Bulletin. 1:36-49
This article presents the first results of a statistical analysis of the ownership links between the major European and American defence contractors. This approach, centred on the shareholders and subsidiaries of these companies, enables us to explor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75f6a0bdf9a29e18afc22209cc559a03
https://doi.org/10.20870/fb.2019.1.3.2406
https://doi.org/10.20870/fb.2019.1.3.2406
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, World Scientific Publishing, 2021, 29 (4), pp.537-557
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, World Scientific Publishing, 2021, 29 (4), pp.537-557
International audience; Occupancy grids are common tools used in robotics to represent the robot environment, and that may be used to plan trajectories, select additional measurements to acquire, etc. However, deriving information about those occupan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a43ea6b66c4442ebe4aa5c65836270fa
https://hal.archives-ouvertes.fr/hal-03341136/document
https://hal.archives-ouvertes.fr/hal-03341136/document
Publikováno v:
SAGE Open Medical Case Reports, Vol 8 (2020)
SAGE Open Medical Case Reports
SAGE Open Medical Case Reports
An elderly woman admitted in our geriatric inpatient unit suffered from disturbing outbursts of crying and, less frequently, episodes of laughing. The patient was diagnosed with pseudobulbar affect related to a mixed neurodegenerative disorder. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::500b25520c1ded327adec456e682031b
https://doaj.org/article/d46daa7acf6147cd93c3e53e2381198b
https://doaj.org/article/d46daa7acf6147cd93c3e53e2381198b
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030584481
SUM
SUM
When classifying an example on the basis of an observed population of (training) samples, at least three kinds of situations can arise where picking a single class may be difficult: high aleatory uncertainty due to the natural mixing of classes, high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac86680d90565de9739026281e1a9c74
https://doi.org/10.1007/978-3-030-58449-8_15
https://doi.org/10.1007/978-3-030-58449-8_15
Publikováno v:
IEEE Transactions on Cybernetics
IEEE Transactions on Cybernetics, IEEE, 2017, 47 (12), pp.4316-4327. ⟨10.1109/TCYB.2016.2607237⟩
IEEE Transactions on Cybernetics, IEEE, 2017, 47 (12), pp.4316-4327. ⟨10.1109/TCYB.2016.2607237⟩
International audience; Indeterminate classifiers are cautious models able to predict more than one class in case of high uncertainty. A problem that arises when using such classifiers is how to evaluate their performances. This problem has already b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85e515242f269237c1b0172f506ac4fb
https://doi.org/10.1109/tcyb.2016.2607237
https://doi.org/10.1109/tcyb.2016.2607237