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Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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EUR 29,90
Spedizione EUR 105,00
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 380 | Sprache: Englisch | Produktart: Bücher | This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning and reinforcement learning. Over the last few years, the machine learning community has become fascinated by federated and transfer learning. Transfer and federated learning have achieved great success and popularity in many different fields of application. The intended audience of this book is students and academics aiming to apply federated and transfer learning to solve different kinds of real-world problems, as well as scientists, researchers, and practitioners in AI industries, autonomous vehicles, and cyber-physical systems who wish to pursue new scientific innovations and update their knowledge on federated and transfer learning and their applications.
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Generative Adversarial Learning: Architectures and Applications (Intelligent Systems Reference Library, 217)
Libro 182 di 188: Intelligent Systems Reference LibraryDa: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Federated and Transfer Learning (Hardcover)
Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2022
ISBN 10: 3031117476 ISBN 13: 9783031117473
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Prima edizione
Hardcover. Condizione: new. Hardcover. This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning and reinforcement learning. Over the last few years, the machine learning community has become fascinated by federated and transfer learning. Transfer and federated learning have achieved great success and popularity in many different fields of application. The intended audience of this book is students and academics aiming to apply federated and transfer learning to solve different kinds of real-world problems, as well as scientists, researchers, and practitioners in AI industries, autonomous vehicles, and cyber-physical systems who wish to pursue new scientific innovations and update their knowledge on federated and transfer learning and their applications. This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning and reinforcement learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Federated and Transfer Learning
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 155,62
Spedizione EUR 2,26
Spedito in U.S.A.Quantità: Più di 20 disponibili
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Generative Adversarial Learning: Architectures and Applications (Intelligent Systems Reference Library, 217)
Libro 182 di 188: Intelligent Systems Reference LibraryDa: Majestic Books, Hounslow, Regno Unito
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EUR 153,70
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Generative Adversarial Learning: Architectures and Applications (eng)
Libro 182 di 188: Intelligent Systems Reference LibraryDa: Brook Bookstore On Demand, Napoli, NA, Italia
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EUR 150,28
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Generative Adversarial Learning: Architectures and Applications (Intelligent Systems Reference Library, 217)
Libro 182 di 188: Intelligent Systems Reference LibraryDa: Biblios, Frankfurt am main, HESSE, Germania
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EUR 154,47
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Spedito da Germania a U.S.A.Quantità: 1 disponibili
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Federated and Transfer Learning (Adaptation, Learning, and Optimization, 27)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 161,77
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Federated and Transfer Learning (Adaptation, Learning, and Optimization)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 161,77
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Generative Adversarial Learning Architectures and Applications (eng)
Libro 182 di 188: Intelligent Systems Reference LibraryDa: Brook Bookstore, Milano, MI, Italia
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EUR 145,54
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Spedito da Italia a U.S.A.Quantità: 10 disponibili
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Federated and Transfer Learning
Da: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 178,45
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Federated and Transfer Learning
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 161,76
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Federated and Transfer Learning
Da: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 179,12
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Spedito in U.S.A.Quantità: Più di 20 disponibili
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Federated and Transfer Learning
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 179,12
Spedizione EUR 2,26
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Federated and Transfer Learning
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 161,76
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Generative Adversarial Learning : Architectures and Applications
Libro 182 di 188: Intelligent Systems Reference LibraryDa: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 181,85
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Generative Adversarial Learning: Architectures and Applications (Hardcover)
Libro 182 di 188: Intelligent Systems Reference LibraryLingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2022
ISBN 10: 3030913899 ISBN 13: 9783030913892
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: new. Hardcover. This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning communities across the world in recent years. Generative adversarial networks (GANs), as the main method of adversarial learning, achieve great success and popularity by exploiting a minimax learning concept, in which two networks compete with each other during the learning process. Their key capability is to generate new data and replicate available data distributions, which are needed in many practical applications, particularly in computer vision and signal processing. The book is intended for academics, practitioners, and research students in artificial intelligence looking to stay up to date with the latest advancements on GANs theoretical developments and their applications. This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Federated and Transfer Learning
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 180,15
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Federated and Transfer Learning
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 180,10
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Generative Adversarial Learning: Architectures and Applications
Libro 182 di 188: Intelligent Systems Reference LibraryDa: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 185,80
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Generative Adversarial Learning : Architectures and Applications
Libro 182 di 188: Intelligent Systems Reference LibraryDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 185,79
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Generative Adversarial Learning : Architectures and Applications
Libro 182 di 188: Intelligent Systems Reference LibraryDa: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 208,65
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EUR 149,00
Spedizione EUR 70,00
Spedito da Germania a U.S.A.Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Federated and Transfer Learning | Roozbeh Razavi-Far (u. a.) | Taschenbuch | Adaptation, Learning, and Optimization | viii | Englisch | 2023 | Springer | EAN 9783031117503 | 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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Federated and Transfer Learning (Adaptation, Learning, and Optimization)
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. pp. 380.
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Generative Adversarial Learning : Architectures and Applications
Libro 182 di 188: Intelligent Systems Reference LibraryDa: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 209,35
Spedizione EUR 17,22
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
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EUR 171,19
Spedizione EUR 62,88
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning and reinforcement learning. Over the last few years, the machine learning community has become fascinated by federated and transfer learning. Transfer and federated learning have achieved great success and popularity in many different fields of application. The intended audience of this book is students and academics aiming to apply federated and transfer learning to solve different kinds of real-world problems, as well as scientists, researchers, and practitioners in AI industries, autonomous vehicles, and cyber-physical systems who wish to pursue new scientific innovations and update their knowledge on federated and transfer learning and their applications.
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EUR 171,19
Spedizione EUR 63,68
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning and reinforcement learning. Over the last few years, the machine learning community has become fascinated by federated and transfer learning. Transfer and federated learning have achieved great success and popularity in many different fields of application. The intended audience of this book is students and academics aiming to apply federated and transfer learning to solve different kinds of real-world problems, as well as scientists, researchers, and practitioners in AI industries, autonomous vehicles, and cyber-physical systems who wish to pursue new scientific innovations and update their knowledge on federated and transfer learning and their applications.
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Generative Adversarial Learning: Architectures and Applications
Libro 182 di 188: Intelligent Systems Reference LibraryEUR 166,90
Spedizione EUR 70,00
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Generative Adversarial Learning: Architectures and Applications | Roozbeh Razavi-Far (u. a.) | Taschenbuch | Intelligent Systems Reference Library | xiv | Englisch | 2023 | Springer | EAN 9783030913922 | 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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Generative Adversarial Learning: Architectures and Applications (Intelligent Systems Reference Library)
Libro 182 di 188: Intelligent Systems Reference LibraryDa: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. First Edition NO-PA16APR2015-KAP.
