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Machine Learning Paradigms - Applications in Recommender Systems.
Book 64 of 188: Intelligent Systems Reference LibraryLanguage: English
Published by Cham, Springer International Publishing., 2015
ISBN 10: 3319191349 ISBN 13: 9783319191348
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 4 out of 5 stars
235 mm x 155 mm, 0 g. XV, 125 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Intelligent Systems Reference Library ; 92. Sprache: Englisch.
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Machine Learning Paradigms. Applications of Learning and Analytics in Intelligent Systems.
Book 1 of 29: Learning and Analytics in Intelligent SystemsSeller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 4 out of 5 stars
XX, 548 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Learning and Analytics in Intelligent Systems, 1. Sprache: Englisch.
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Fusion of Machine Learning Paradigms: Theory and Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 45.68
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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Machine Learning Paradigms: Applications in Recommender Systems (Intelligent Systems Reference Library, 92)
Book 64 of 188: Intelligent Systems Reference LibrarySeller: Ria Christie Collections, Uxbridge, United Kingdom
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Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems
Book 1 of 29: Learning and Analytics in Intelligent SystemsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Machine Learning Paradigms: Artificial Immune Systems and their Applications in Software Personalization (Intelligent Systems Reference Library, 118)
Book 89 of 188: Intelligent Systems Reference LibrarySeller: Ria Christie Collections, Uxbridge, United Kingdom
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Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems
Book 1 of 29: Learning and Analytics in Intelligent SystemsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Machine Learning Paradigms : Applications in Recommender Systems
Book 64 of 188: Intelligent Systems Reference LibrarySeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Machine Learning Paradigms : Artificial Immune Systems and Their Applications in Software Personalization
Book 89 of 188: Intelligent Systems Reference LibrarySeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Machine Learning Paradigms : Applications of Learning and Analytics in Intelligent Systems
Book 1 of 29: Learning and Analytics in Intelligent SystemsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. Softcover reprint of the original 1st ed. 2017 edition NO-PA16APR2015-KAP.
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Machine Learning Paradigms : Artificial Immune Systems and Their Applications in Software Personalization
Book 89 of 188: Intelligent Systems Reference LibrarySeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Machine Learning Paradigms : Applications of Learning and Analytics in Intelligent Systems
Book 1 of 29: Learning and Analytics in Intelligent SystemsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. pp. 548 1st ed. 2019 edition NO-PA16APR2015-KAP.
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Taschenbuch. Condition: Neu. Machine Learning Paradigms | Applications in Recommender Systems | Aristomenis S. Lampropoulos (u. a.) | Taschenbuch | xv | Englisch | 2016 | Springer | EAN 9783319384962 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Machine Learning Paradigms | Artificial Immune Systems and their Applications in Software Personalization | Dionisios N. Sotiropoulos (u. a.) | Taschenbuch | Intelligent Systems Reference Library | xvi | Englisch | 2018 | Springer | EAN 9783319836751 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Machine Learning Paradigms | Applications of Learning and Analytics in Intelligent Systems | George A. Tsihrintzis (u. a.) | Taschenbuch | Learning and Analytics in Intelligent Systems | xx | Englisch | 2020 | Springer | EAN 9783030156305 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Hardcover. Condition: Brand New. 205 pages. 9.25x6.10x0.67 inches. In Stock.
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Hardcover. Condition: Brand New. 344 pages. 9.25x6.10x0.94 inches. In Stock.
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Paperback. Condition: Brand New. 570 pages. 9.25x6.10x1.26 inches. In Stock.
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Machine Learning Paradigms : Applications in Recommender Systems
Book 64 of 188: Intelligent Systems Reference LibraryLanguage: English
Published by Springer International Publishing, 2015
ISBN 10: 3319191349 ISBN 13: 9783319191348
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes. Recommender systems built on the assumption of availability of both positive and negative examples do not perform well when negative examples are rare. It is exactly this problem that the authors address in the monograph at hand. Specifically, the books approach is based on one-class classification methodologies that have been appearing in recent machine learning research. The blending of recommender systems and one-class classification provides a new very fertile field for research, innovation and development with potential applications in 'big data' as well as 'sparse data' problems.The book will be useful to researchers, practitioners and graduate students dealing with problems of extensive and complex data. It is intended for both the expert/researcher in the fields of Pattern Recognition, Machine Learning and Recommender Systems, as well as for the general reader in the fields of Applied and Computer Science who wishes to learn more about the emerging discipline of Recommender Systems and their applications. Finally, the book provides an extended list of bibliographic references which covers the relevant literature completely.
