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paperback. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week!
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Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Condition: As New. Unread book in perfect condition.
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Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Condition: New.
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Condition: New.
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Condition: New.
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Condition: New.
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Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Condition: New.
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Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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International EditionMACHINE LEARNING FOR SIGNAL PROCESSING: DATA SCIENCE, ALGORITHMS, AND COMPUTATIONAL STATISTICS
Language: English
Published by OXFORD UNIVERSITY PRESS, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
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Add to basketPaperback. Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2019
ISBN 10: 0198714939 ISBN 13: 9780198714934
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Language: English
Published by OUP Oxford 2019-08-13, 2019
ISBN 10: 0198714939 ISBN 13: 9780198714934
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Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press Mai 2024, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Taschenbuch. Condition: Neu. Neuware - Describes the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Builds up concepts gradually so that the ideas and algorithms can be implemented in practical software applications.
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
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Machine Learning Algorithms for Signal and Image Processing
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Add to basketHardcover. Condition: Brand New. 359 pages. 10.00x7.75x1.00 inches. In Stock.
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Machine Learning Algorithms : Adversarial Robustness in Signal Processing
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Signal Classification | Comparison of Different Feature Extraction and Machine Learning Algorithms for EMG Signal Classification
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200498903 ISBN 13: 9786200498908
Taschenbuch. Condition: Neu. Signal Classification | Comparison of Different Feature Extraction and Machine Learning Algorithms for EMG Signal Classification | Emine Yaman | Taschenbuch | 168 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200498908 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2019
ISBN 10: 0198714939 ISBN 13: 9780198714934
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 3 working days. 961.
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book demonstrates the optimal adversarial attacks against several important signal processing algorithms. Through presenting the optimal attacks in wireless sensor networks, array signal processing, principal component analysis, etc, the authors reveal the robustness of the signal processing algorithms against adversarial attacks. Since data quality is crucial in signal processing, the adversary that can poison the data will be a significant threat to signal processing. Therefore, it is necessary and urgent to investigate the behavior of machine learning algorithms in signal processing under adversarial attacks. The authors in this book mainly examine the adversarial robustness of three commonly used machine learning algorithms in signal processing respectively: linear regression, LASSO-based feature selection, and principal component analysis (PCA). As to linear regression, the authors derive the optimal poisoning data sample and the optimal feature modifications, and also demonstrate the effectiveness of the attack against a wireless distributed learning system. The authors further extend the linear regression to LASSO-based feature selection and study the best strategy to mislead the learning system to select the wrong features. The authors find the optimal attack strategy by solving a bi-level optimization problem and also illustrate how this attack influences array signal processing and weather data analysis. In the end, the authors consider the adversarial robustness of the subspace learning problem. The authors examine the optimal modification strategy under the energy constraints to delude the PCA-based subspace learning algorithm. This book targets researchers working in machine learning, electronic information, and information theory as well as advanced-level students studying these subjects. R&D engineers who are working in machine learning, adversarial machine learning, robust machine learning, and technical consultants working on the security and robustness of machine learning are likely to purchase this book as a reference guide.
