9789811968136 - machine learning safety di huang, xiaowei; jin, gaojie; ruan, wenjie (18 risultati)

Lingua: Inglese
Editore: Springer, 2023
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 13 di 15. Libro 13 di 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Lingua: Inglese
Editore: MacMillan, 2023
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 13 di 15. Libro 13 di 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Lingua: Inglese
Editore: Springer, 2023
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 13 di 15. Libro 13 di 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.Romtrade Corp.
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Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Lingua: Inglese
Editore: MacMillan, 2023
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 13 di 15. Libro 13 di 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Lingua: Inglese
Editore: Springer, 2023
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 13 di 15. Libro 13 di 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Lingua: Inglese
Editore: Springer, 2023
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 13 di 15. Libro 13 di 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Da: SMASS Sellers, IRVING, TX, U.S.A.SMASS Sellers
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Lingua: Inglese
Editore: MacMillan, 2023
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 13 di 15. Libro 13 di 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Lingua: Inglese
Editore: Springer, 2023
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 13 di 15. Libro 13 di 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Lingua: Inglese
Editore: Springer, 2023
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 13 di 15. Libro 13 di 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Lingua: Inglese
Editore: Springer, 2023
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 13 di 15. Libro 13 di 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Lingua: Inglese
Editore: Springer, 2023
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 13 di 15. Libro 13 di 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Lingua: Inglese
Editore: Springer, 2023
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 13 di 15. Libro 13 di 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 338 pages. 9.25x6.10x0.81 inches. In Stock.

Lingua: Inglese
Editore: Springer, Springer, 2023
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 13 di 15. Libro 13 di 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Machine learning algorithms allow computers to learn without being explicitly programmed. Their application is now spreading to highly sophisticated tasks across multiple domains, such as medical diagnostics or fully autonomous vehicles. While this devel…opment holds great potential, it also raises new safety concerns, as machine learning has many specificities that make its behaviour prediction and assessment very different from that for explicitly programmed software systems. This book addresses the main safety concerns with regard to machine learning, including its susceptibility to environmental noise and adversarial attacks. Such vulnerabilities have become a major roadblock to the deployment of machine learning in safety-critical applications. The book presents up-to-date techniques for adversarial attacks, which are used to assess the vulnerabilities of machine learning models; formal verification, which is used to determine if a trained machine learning model is free of vulnerabilities; and adversarial training, which is used to enhance the training process and reduce vulnerabilities.The book aims to improve readers' awareness of the potential safety issues regarding machine learning models. In addition, it includes up-to-date techniques for dealing with these issues, equipping readers with not only technical knowledge but also hands-on practical skills.

Lingua: Inglese
Editore: Springer, 2023
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 13 di 15. Libro 13 di 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.

Lingua: Inglese
Editore: Springer, 2023
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 13 di 15. Libro 13 di 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.

Lingua: Inglese
Editore: Springer Nature Singapore Apr 2023, 2023
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 13 di 15. Libro 13 di 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine learning algorithms allow computers to learn without being explicitly programmed. Their application is now spreading to highly sophisticated tasks across multiple domains, such as medical diagnostics or fully autonomous vehicles.…While this development holds great potential, it also raises new safety concerns, as machine learning has many specificities that make its behaviour prediction and assessment very different from that for explicitly programmed software systems. This book addresses the main safety concerns with regard to machine learning, including its susceptibility to environmental noise and adversarial attacks. Such vulnerabilities have become a major roadblock to the deployment of machine learning in safety-critical applications. The book presents up-to-date techniques for adversarial attacks, which are used to assess the vulnerabilities of machine learning models; formal verification, which is used to determine if a trained machine learning model is free of vulnerabilities; and adversarial training, which is used to enhance the training process and reduce vulnerabilities.The book aims to improve readers' awareness of the potential safety issues regarding machine learning models. In addition, it includes up-to-date techniques for dealing with these issues, equipping readers with not only technical knowledge but also hands-on practical skills. 340 pp. Englisch.

Lingua: Inglese
Editore: Springer Nature Singapore, 2023
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 13 di 15. Libro 13 di 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive and thorough investigation on safety concerns regarding machine learningShows readers to identify vulnerabilities in machine learning models and to improve the models in the training processD…emonstrates formal verif.

Lingua: Inglese
Editore: Springer, Springer Apr 2023, 2023
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 13 di 15. Libro 13 di 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Machine learning algorithms allow computers to learn without being explicitly programmed. Their application is now spreading to highly sophisticated tasks across multiple domains, such as medical diagnostics or fully autonomous vehicles. Whil…e this development holds great potential, it also raises new safety concerns, as machine learning has many specificities that make its behaviour prediction and assessment very different from that for explicitly programmed software systems. This book addresses the main safety concerns with regard to machine learning, including its susceptibility to environmental noise and adversarial attacks. Such vulnerabilities have become a major roadblock to the deployment of machine learning in safety-critical applications. The book presents up-to-date techniques for adversarial attacks, which are used to assess the vulnerabilities of machine learning models; formal verification, which is used to determine if a trained machine learning model is free of vulnerabilities; and adversarial training, which is used to enhance the training process and reduce vulnerabilities.The book aims to improve readers' awareness of the potential safety issues regarding machine learning models. In addition, it includes up-to-date techniques for dealing with these issues, equipping readers with not only technical knowledge but also hands-on practical skills.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 340 pp. Englisch.