Verfügbarkeit: Deep Learning Theory and Applications

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Bibliographische Detailangaben
Weitere beteiligte Personen:	Fred, Ana (HerausgeberIn), Hadjali, Allel (HerausgeberIn), Gusikhin, Oleg (HerausgeberIn), Sansone, Carlo (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham Springer Nature Switzerland 2024 Cham Springer
Ausgabe:	1st ed. 2024
Schriftenreihe:	Communications in Computer and Information Science 2171
Schlagwörter:	Artificial Intelligence Machine Learning Computer and Information Systems Applications Data Mining and Knowledge Discovery Natural Language Processing (NLP) Artificial intelligence Machine learning Application software Data mining Natural language processing (Computer science)
Links:	https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0 https://doi.org/10.1007/978-3-031-66694-0
Umfang:	1 Online-Ressource (XXIII, 367 p. 153 illus., 138 illus. in color)
ISBN:	9783031666940
ISSN:	1865-0937
DOI:	10.1007/978-3-031-66694-0

Internformat

MARC


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illustrated	Not Illustrated
indexdate	2024-12-20T20:23:31Z
institution	BVB
isbn	9783031666940
issn	1865-0937
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-035186448
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physical	1 Online-Ressource (XXIII, 367 p. 153 illus., 138 illus. in color)
psigel	ZDB-2-SCS ZDB-2-SCS_2024
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publisher	Springer Nature Switzerland Springer
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series2	Communications in Computer and Information Science
spellingShingle	Deep Learning Theory and Applications 5th International Conference, DeLTA 2024, Dijon, France, July 10–11, 2024, Proceedings, Part I Artificial Intelligence Machine Learning Computer and Information Systems Applications Data Mining and Knowledge Discovery Natural Language Processing (NLP) Artificial intelligence Machine learning Application software Data mining Natural language processing (Computer science)
title	Deep Learning Theory and Applications 5th International Conference, DeLTA 2024, Dijon, France, July 10–11, 2024, Proceedings, Part I
title_auth	Deep Learning Theory and Applications 5th International Conference, DeLTA 2024, Dijon, France, July 10–11, 2024, Proceedings, Part I
title_exact_search	Deep Learning Theory and Applications 5th International Conference, DeLTA 2024, Dijon, France, July 10–11, 2024, Proceedings, Part I
title_full	Deep Learning Theory and Applications 5th International Conference, DeLTA 2024, Dijon, France, July 10–11, 2024, Proceedings, Part I edited by Ana Fred, Allel Hadjali, Oleg Gusikhin, Carlo Sansone
title_fullStr	Deep Learning Theory and Applications 5th International Conference, DeLTA 2024, Dijon, France, July 10–11, 2024, Proceedings, Part I edited by Ana Fred, Allel Hadjali, Oleg Gusikhin, Carlo Sansone
title_full_unstemmed	Deep Learning Theory and Applications 5th International Conference, DeLTA 2024, Dijon, France, July 10–11, 2024, Proceedings, Part I edited by Ana Fred, Allel Hadjali, Oleg Gusikhin, Carlo Sansone
title_short	Deep Learning Theory and Applications
title_sort	deep learning theory and applications 5th international conference delta 2024 dijon france july 10 11 2024 proceedings part i
title_sub	5th International Conference, DeLTA 2024, Dijon, France, July 10–11, 2024, Proceedings, Part I
topic	Artificial Intelligence Machine Learning Computer and Information Systems Applications Data Mining and Knowledge Discovery Natural Language Processing (NLP) Artificial intelligence Machine learning Application software Data mining Natural language processing (Computer science)
topic_facet	Artificial Intelligence Machine Learning Computer and Information Systems Applications Data Mining and Knowledge Discovery Natural Language Processing (NLP) Artificial intelligence Machine learning Application software Data mining Natural language processing (Computer science)
url	https://doi.org/10.1007/978-3-031-66694-0
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