Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 53,19
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Aggiungi al carrelloCondizione: New. In English.
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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.
Condizione: New. 1st Edition.
Condizione: New.
Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Da: Majestic Books, Hounslow, Regno Unito
EUR 67,95
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 67,47
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Da: California Books, Miami, FL, U.S.A.
EUR 86,89
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Condizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 73,35
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 77,04
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Aggiungi al carrelloCondizione: New. In.
Lingua: Cinese
Editore: Center for Chinese Studies Research, Universiti Tunku Abdul Rahman, 2013
ISBN 10: 9671120253 ISBN 13: 9789671120255
Da: Masalai Press, Oakland, CA, U.S.A.
Soft cover. Condizione: Very Good. 255 pp., illustrations. In Chinese.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 86,58
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: preigu, Osnabrück, Germania
EUR 49,05
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Machine Learning Safety | Xiaowei Huang (u. a.) | Taschenbuch | xvii | Englisch | 2024 | Springer | EAN 9789811968167 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore, 2024
ISBN 10: 9811968160 ISBN 13: 9789811968167
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 58,55
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. 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 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 116,07
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 338 pages. 9.25x6.10x0.81 inches. In Stock.
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore Apr 2023, 2023
ISBN 10: 9811968136 ISBN 13: 9789811968136
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 74,89
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch.
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore, 2023
ISBN 10: 9811968136 ISBN 13: 9789811968136
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 79,75
Quantità: 1 disponibili
Aggiungi al carrelloBuch. 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 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.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 166,29
Quantità: 10 disponibili
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 156,22
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Aggiungi al carrellopaperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
EUR 161,55
Quantità: 10 disponibili
Aggiungi al carrelloCondizione: new.
Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031706862 ISBN 13: 9783031706868
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. This book dives into the vanguard of robotics and AI with this scholarly edition, a compilation of pioneering research from the 11th International Conference on Robot Intelligence Technology and Applications (RiTA) Volume 2. This book focuses on Machine Learning and AI Applications, which elucidates the transformative power of contemporary AI across a multitude of domains, from medical diagnostics to natural language comprehension. This book uncovers innovative models, avant-garde training techniques and sophisticated interpretability methods that underscore the versatility and robustness of AI. This book is an indispensable asset for researchers and practitioners navigating the digital frontier. This book dives into the vanguard of robotics and AI with this scholarly edition, a compilation of pioneering research from the 11th International Conference on Robot Intelligence Technology and Applications (RiTA) Volume 2. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 214,64
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 235 pages. 9.25x6.10x9.25 inches. In Stock.
Da: California Books, Miami, FL, U.S.A.
EUR 232,89
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 219,78
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Aggiungi al carrelloCondizione: New. In.
Da: Buchpark, Trebbin, Germania
EUR 143,83
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 372 | Sprache: Englisch | Produktart: Bücher | This book delves into the forefront of robotics and AI with this scholarly collection from the 11th International Conference on Robot Intelligence Technology and Applications (RiTA) Volume 1. This book consists of two Sections/Chapters, namely Sensors, Signals and Systems and Robotics, Automation and Control. The former elucidates the pivotal role of sensors, signals and systems in propelling advancements in robotics and AI, while the latter illuminates the transformative power of autonomous systems across various sectors, from intricate surgical procedures to complex manufacturing processes. This book is an indispensable resource for both researchers and practitioners, offering a comprehensive overview of the digital trajectory of robotics and AI.
Da: preigu, Osnabrück, Germania
EUR 186,70
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Robot Intelligence Technology and Applications 8 | Results from the 11th International Conference on Robot Intelligence Technology and Applications, Volume 1 | Anwar P. P. Abdul Majeed (u. a.) | Taschenbuch | x | Englisch | 2024 | Springer | EAN 9783031706837 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: preigu, Osnabrück, Germania
EUR 186,70
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Robot Intelligence Technology and Applications 8 | Results from the 11th International Conference on Robot Intelligence Technology and Applications, Volume 2 | Anwar P. P. Abdul Majeed (u. a.) | Taschenbuch | ix | Englisch | 2024 | Springer | EAN 9783031706868 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Condizione: New.
Lingua: Inglese
Editore: Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031706862 ISBN 13: 9783031706868
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 213,99
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book dives into the vanguard of robotics and AI with this scholarly edition, a compilation of pioneering research from the 11th International Conference on Robot Intelligence Technology and Applications (RiTA) Volume 2. This book focuses on 'Machine Learning and AI Applications', which elucidates the transformative power of contemporary AI across a multitude of domains, from medical diagnostics to natural language comprehension. This book uncovers innovative models, avant-garde training techniques and sophisticated interpretability methods that underscore the versatility and robustness of AI. This book is an indispensable asset for researchers and practitioners navigating the digital frontier.