Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Erwan Pigneul"'
Autor:
Robin Allesiardo, Christophe Sauldubois, Fabrice Depaulis, Nicolas Bulteau, Frédéric Chantrel, Erwan Pigneul
Publikováno v:
Advances in Knowledge Discovery and Management ISBN: 9783030902865
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df02d14f152d6f247f13bc25267594e3
https://doi.org/10.1007/978-3-030-90287-2_4
https://doi.org/10.1007/978-3-030-90287-2_4
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030368074
ICONIP (4)
ICONIP (4)
Training deep networks requires large volumes of data. However, for many companies developing new products, those data may not be available and public data-sets may not be adapted to their particular use-case. In this paper, we explain how we achieve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::181b61cee5ead07f2565cbf12fa53bea
https://doi.org/10.1007/978-3-030-36808-1_27
https://doi.org/10.1007/978-3-030-36808-1_27
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783319754192
ACIIDS (2)
ACIIDS
ACIIDS, 2, pp.3-12, 2018
ACIIDS (2)
ACIIDS
ACIIDS, 2, pp.3-12, 2018
This paper proposes a Deep Neural Networks (DNN) based approach for entity resolution in databases. This approach is mainly based on a record linkage process which aims to detect records that refer to the same entity. First, record pairs are represen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71e935e1aa11e0c188fe5f97ae6c400f
https://doi.org/10.1007/978-3-319-75420-8_1
https://doi.org/10.1007/978-3-319-75420-8_1