Published by Cham, Springer International Publishing., 2015
ISBN 10: 3319191349 ISBN 13: 9783319191348
Language: English
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
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Add to basket235 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.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 125.
Seller: Books Puddle, New York, NY, U.S.A.
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Published by Springer, Berlin, Springer International Publishing, Springer, 2016
ISBN 10: 3319384961 ISBN 13: 9783319384962
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. 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.
Published by Springer-Verlag New York Inc, 2016
ISBN 10: 3319384961 ISBN 13: 9783319384962
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. reprint edition. 140 pages. 9.25x6.10x0.34 inches. In Stock.
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 9.25x6.50x0.75 inches. In Stock.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Springer International Publishing, 2015
ISBN 10: 3319191349 ISBN 13: 9783319191348
Language: English
Seller: moluna, Greven, Germany
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents recent applications of Recommender SystemsIntended for both the expert and researcher in the fields of Pattern Recognition, Machine Learning and Recommender Systems, as well as for the general reader who wishes to learn more about the eme.
Seller: Majestic Books, Hounslow, United Kingdom
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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