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Sprache: Englisch
Verlag: World Scientific Pub Co Inc, 2021
ISBN 10: 1786349647 ISBN 13: 9781786349644
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Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2024
ISBN 10: 9819602130 ISBN 13: 9789819602131
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Zustand: New. In today s world, we are increasingly exposed to the words machine learning (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation.KlappentextrnrnIn today s wor.
Sprache: Englisch
Verlag: World Scientific Publishing Co, 2021
ISBN 10: 1786349361 ISBN 13: 9781786349361
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Sprache: Englisch
Verlag: World Scientific Pub Co Inc, 2021
ISBN 10: 1786349361 ISBN 13: 9781786349361
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Taschenbuch. Zustand: Neu. Mechanism Design in Social Networks | First International Workshop, MNet 2024, Held in Conjunction with IJCAI 2024, Jeju, South Korea, August 4, 2024, Proceedings | Dong Hao (u. a.) | Taschenbuch | ix | Englisch | 2024 | Springer | EAN 9789819602131 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the First International Workshop on Mechanism Design in Social Networks, MNet 2024, held in conjunction with IJCAI 2024, in Jeju, South Korea, on August 4, 2024.The 5 full and 3 short papers included in these proceedings were carefully reviewed and selected from 21 submissions. They focus on providing an internationally respected forum for scientific research tackling the fundamental challenges of mechanism design in social networks.
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Taschenbuch. Zustand: Neu. Mechanism Design in Social Networks | 2nd International Workshop, MNet 2025, Held in Conjunction with IJCAI 2025, Montreal, Canada, August 16-22, 2025, Proceedings | Dong Hao (u. a.) | Taschenbuch | ix | Englisch | 2026 | Springer | EAN 9789819551637 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the second International Workshop on Mechanism Design in Social Networks, MNet 2025, held in conjunction with IJCAI 2025, in Montreal, Canada, during August 16 22, 2025.The 5 full papers included in these proceedings were carefully reviewed and selected from 11 submissions. They provide a cross-disciplinary study and communication on the research of mechanism design and social networks.
Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2025
ISBN 10: 1839536594 ISBN 13: 9781839536595
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Verlag: Inst of Engineering & Technology, 2025
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Sprache: Englisch
Verlag: Springer Nature Singapore, 2020
ISBN 10: 9811540942 ISBN 13: 9789811540943
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 544 | Sprache: Englisch | Produktart: Bücher | Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine, and famously contributed to the success of AlphaGo. Furthermore, it opens up numerous new applications in domains such as healthcare, robotics, smart grids and finance. Divided into three main parts, this book provides a comprehensive and self-contained introduction to DRL. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation. The second part covers selected DRL research topics, which are useful for those wanting to specialize in DRL research. To help readers gain a deep understanding of DRL and quickly apply the techniques in practice, the third part presents mass applications, such as the intelligent transportation system and learning to run, with detailedexplanations. The book is intended for computer science students, both undergraduate and postgraduate, who would like to learn DRL from scratch, practice its implementation, and explore the research topics. It also appeals to engineers and practitioners who do not have strong machine learning background, but want to quickly understand how DRL works and use the techniques in their applications.
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 776 | Sprache: Englisch | Produktart: Bücher | The book presents studies related to artificial intelligence (AI) and its applications to process and analyze data and big data to create machines or software that can better understand business behavior, industry activities, and human health. The studies were presented at ¿The 2021 International Conference on Artificial Intelligence and Big Data in Digital Erä (ICABDE 2021), which was held in Ho Chi Minh City, Vietnam, during December 18-19, 2021. The studies are pointing toward the famous slogan in technology ¿Make everything smarter,¿ i.e., creating machines that can understand and can communicate with humans, and they must act like humans in different aspects such as vision, communication, thinking, feeling, and acting.¿A computer would deserve to be called intelligent if it could deceive a human into believing that it was human¿ ¿Alan Turing.
Sprache: Englisch
Verlag: Institution Of Engineering & Technology Feb 2025, 2025
ISBN 10: 1839536594 ISBN 13: 9781839536595
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - Ammonia is a vector for a future cleaner energy system. It can be used in combustion devices for electricity generation and as fuel for transport. This work covers technology and measurements for combustion devices for power generation and propulsion.
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In den WarenkorbHardcover. Zustand: Brand New. 514 pages. 9.25x6.10x1.10 inches. In Stock.
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Taschenbuch. Zustand: Neu. Deep Reinforcement Learning | Fundamentals, Research and Applications | Hao Dong (u. a.) | Taschenbuch | xxvii | Englisch | 2021 | Springer | EAN 9789811540974 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine, and famously contributed to the success of AlphaGo. Furthermore, it opens up numerous new applications in domains such as healthcare, robotics, smart grids and finance.Divided into three main parts, this book provides a comprehensive and self-contained introduction to DRL. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation. The second part covers selected DRL research topics, which are useful for those wanting to specialize in DRL research. To help readers gain a deep understanding of DRL and quickly apply the techniques in practice, the third part presents mass applications, such as the intelligent transportation system and learning to run, with detailedexplanations.The book is intended for computer science students, both undergraduate and postgraduate, who would like to learn DRL from scratch, practice its implementation, and explore the research topics. It also appeals to engineers and practitioners who do not have strong machine learning background, but want to quickly understand how DRL works and use the techniques in their applications.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine, and famously contributed to the success of AlphaGo. Furthermore, it opens up numerous new applications in domains such as healthcare, robotics, smart grids and finance.Divided into three main parts, this book provides a comprehensive and self-contained introduction to DRL. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation. The second part covers selected DRL research topics, which are useful for those wanting to specialize in DRL research. To help readers gain a deep understanding of DRL and quickly apply the techniques in practice, the third part presents mass applications, such as the intelligent transportation system and learning to run, with detailedexplanations.The book is intended for computer science students, both undergraduate and postgraduate, who would like to learn DRL from scratch, practice its implementation, and explore the research topics. It also appeals to engineers and practitioners who do not have strong machine learning background, but want to quickly understand how DRL works and use the techniques in their applications.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Artificial Intelligence in Data and Big Data Processing | Proceedings of ICABDE 2021 | Ngoc Hoang Thanh Dang (u. a.) | Taschenbuch | Lecture Notes on Data Engineering and Communications Technologies | xxxix | Englisch | 2023 | Springer | EAN 9783030976125 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.