Holdings: Multi-aspect Learning

Multi-aspect Learning: Methods and Applications

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Bibliographic Details
Main Authors:	Nayak, Richi (Author), Luong, Khanh (Author)
Format:	Electronic eBook
Language:	English
Published:	Cham Springer International Publishing 2023 Cham Springer
Edition:	1st ed. 2023
Series:	Intelligent Systems Reference Library 242
Subjects:	Data Engineering Computational Intelligence Machine Learning Engineering—Data processing Computational intelligence Machine learning
Online Access:	BFB01 BTU01 FAW01 FFW01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FWS01 FWS02 HTW01 TUM01 UBY01 UER01 UPA01 Volltext
Physical Description:	1 Online-Ressource (VIII, 184 p. 71 illus., 70 illus. in color)
ISBN:	9783031335600
ISSN:	1868-4408
DOI:	10.1007/978-3-031-33560-0

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Record in the Search Index

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publisher	Springer International Publishing Springer
record_format	marc
series2	Intelligent Systems Reference Library
spellingShingle	Nayak, Richi Luong, Khanh Multi-aspect Learning Methods and Applications Data Engineering Computational Intelligence Machine Learning Engineering—Data processing Computational intelligence Machine learning
title	Multi-aspect Learning Methods and Applications
title_auth	Multi-aspect Learning Methods and Applications
title_exact_search	Multi-aspect Learning Methods and Applications
title_exact_search_txtP	Multi-aspect Learning Methods and Applications
title_full	Multi-aspect Learning Methods and Applications by Richi Nayak, Khanh Luong
title_fullStr	Multi-aspect Learning Methods and Applications by Richi Nayak, Khanh Luong
title_full_unstemmed	Multi-aspect Learning Methods and Applications by Richi Nayak, Khanh Luong
title_short	Multi-aspect Learning
title_sort	multi aspect learning methods and applications
title_sub	Methods and Applications
topic	Data Engineering Computational Intelligence Machine Learning Engineering—Data processing Computational intelligence Machine learning
topic_facet	Data Engineering Computational Intelligence Machine Learning Engineering—Data processing Computational intelligence Machine learning
url	https://doi.org/10.1007/978-3-031-33560-0
work_keys_str_mv	AT nayakrichi multiaspectlearningmethodsandapplications AT luongkhanh multiaspectlearningmethodsandapplications

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