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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Language: Chinese
Published by Center for Chinese Studies Research, Universiti Tunku Abdul Rahman, 2013
ISBN 10: 9671120253 ISBN 13: 9789671120255
Seller: Masalai Press, Oakland, CA, U.S.A.
Soft cover. Condition: Very Good. 255 pp., illustrations. In Chinese.
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Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Machine Learning Safety | Xiaowei Huang (u. a.) | Taschenbuch | Artificial Intelligence: Foundations, Theory, and Algorithms | 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.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 338 pages. 9.25x6.10x0.81 inches. In Stock.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: 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.
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Language: English
Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031706862 ISBN 13: 9783031706868
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: 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.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: 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.
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Taschenbuch. Condition: 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 | Lecture Notes in Networks and Systems | 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.
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Taschenbuch. Condition: 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.
Paperback. Condition: Brand New. 235 pages. 9.25x6.10x9.25 inches. In Stock.