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Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Oxford University Press, 2019
ISBN 10: 0198714939 ISBN 13: 9780198714934
Language: English
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
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Add to basketPaperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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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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Add to basketCondition: New. In English.
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Add to baskethardcover. Condition: Gut. Seiten; 9781119861829.3 Gewicht in Gramm: 2.
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Published by Springer International Publishing, 2023
ISBN 10: 303116377X ISBN 13: 9783031163777
Language: English
Seller: Buchpark, Trebbin, Germany
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 116 | Sprache: Englisch | Produktart: Bücher.
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Published by Mechanical Industry Press, 2023
ISBN 10: 7111725301 ISBN 13: 9787111725305
Language: English
Seller: liu xing, Nanjing, JS, China
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Add to basketpaperback. Condition: New. Language:Chinese.Paperback.Pub Date:2023-05 Pages:292 Publisher:Machinery Industry Press This book combines knowledge of statistical machine learning and digital signal processing. describes the relevant mathematical foundations and algorithms in detail. and introduces and explains concepts in a solid and step-by-step manner so that these ideas and algorithms can be implemented in practical software applications. For the practical problems we face. the book provides technical background and e.
Published by Springer International Publishing, 2024
ISBN 10: 303122440X ISBN 13: 9783031224409
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 book presents recent advances of Bayesian inference in structured tensor decompositions. It explains how Bayesian modeling and inference lead to tuning-free tensor decomposition algorithms, which achieve state-of-the-art performances in many applications, includingblind source separation;social network mining;image and video processing;array signal processing; and,wireless communications.The book begins with an introduction to the general topics of tensors and Bayesian theories. It then discusses probabilistic models of various structured tensor decompositions and their inference algorithms, with applications tailored for each tensor decomposition presented in the corresponding chapters. The book concludes by looking to the future, and areas where this research can be further developed.Bayesian Tensor Decomposition for Signal Processing and Machine Learning is suitable for postgraduates and researchers with interests in tensor data analytics and Bayesian methods.
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200498903 ISBN 13: 9786200498908
Language: English
Seller: Mispah books, Redhill, SURRE, United Kingdom
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Add to basketpaperback. Condition: New. New. book.