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Proceedings of ELM 2022: Theory, Algorithms and Applications: 18 (Proceedings in Adaptation, Learning and Optimization) - Tapa dura
Sinopsis
This book contains selected papers from the 12th International Conference on Extreme Learning Machines 2022. Extreme learning machines (ELMs) continue to be an important complement to the many deep learning models you can find in the machine learning domain. ELM is fast and therefore suitable for many applications (not only in edge computing), and therefore there is a need to gather examples of possible applications. These proceedings, for the ELM 2022 conference, cover several application areas with relevant topics, where ELM can be used and has been used with great success. Here you will find several new areas (gaming, for instance) as well as improved concepts for existing application areas (signature forgery, for instance), where ELM has been implemented. In addition, some method improvements are also covered in this book, more specifically on the topic of 2nd-order Ordinary Differential Equations (ODEs).
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De la contraportada
This book contains selected papers from the 12th International Conference on Extreme Learning Machines 2022. Extreme learning machines (ELMs) continue to be an important complement to the many deep learning models you can find in the machine learning domain. ELM is fast and therefore suitable for many applications (not only in edge computing), and therefore there is a need to gather examples of possible applications. These proceedings, for the ELM 2022 conference, cover several application areas with relevant topics, where ELM can be used and has been used with great success. Here you will find several new areas (gaming, for instance) as well as improved concepts for existing application areas (signature forgery, for instance), where ELM has been implemented. In addition, some method improvements are also covered in this book, more specifically on the topic of 2nd-order Ordinary Differential Equations (ODEs).
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- EditorialSpringer
- Año de publicación2024
- ISBN 10 3031550552
- ISBN 13 9783031550553
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas88
- EditorBjörk Kaj-Mikael
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Proceedings of ELM 2022: Theory, Algorithms and Applications (Proceedings in Adaptation, Learning and Optimization, 18, Band 18)
Librería: Buchpark, Trebbin, Alemania
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Condición: Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. | Seiten: 86 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 42817640/2
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Proceedings of ELM 2022: Theory, Algorithms and Applications (Proceedings in Adaptation, Learning and Optimization, 18, Band 18)
Librería: Buchpark, Trebbin, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: Hervorragend. Zustand: Hervorragend | Seiten: 86 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 42817640/1
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Proceedings of ELM 2022
Publicado por
Springer, Berlin|Springer Nature Switzerland|Springer, 2024
ISBN 10: 3031550552
ISBN 13: 9783031550553
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book contains selected papers from the 12th International Conference on Extreme Learning Machines 2022. Extreme learning machines (ELMs) continue to be an important complement to the many deep learning models you can find in the machine learning dom. Nº de ref. del artículo: 1374128603
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Proceedings of ELM 2022: Theory, Algorithms and Applications (Proceedings in Adaptation, Learning and Optimization, 18)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Condición: New. In. Nº de ref. del artículo: ria9783031550553_new
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Proceedings of ELM 2022
Publicado por
Springer International Publishing, Springer Nature Switzerland Mär 2024, 2024
ISBN 10: 3031550552
ISBN 13: 9783031550553
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book contains selected papers from the 12th International Conference on Extreme Learning Machines 2022. Extreme learning machines (ELMs) continue to be an important complement to the many deep learning models you can find in the machine learning domain. ELM is fast and therefore suitable for many applications (not only in edge computing), and therefore there is a need to gather examples of possible applications. These proceedings, for the ELM 2022 conference, cover several application areas with relevant topics, where ELM can be used and has been used with great success. Here you will find several new areas (gaming, for instance) as well as improved concepts for existing application areas (signature forgery, for instance), where ELM has been implemented. In addition, some method improvements are also covered in this book, more specifically on the topic of 2nd-order Ordinary Differential Equations (ODEs). 88 pp. Englisch. Nº de ref. del artículo: 9783031550553
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Proceedings of ELM 2022 : Theory, Algorithms and Applications
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Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031550552
ISBN 13: 9783031550553
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains selected papers from the 12th International Conference on Extreme Learning Machines 2022. Extreme learning machines (ELMs) continue to be an important complement to the many deep learning models you can find in the machine learning domain. ELM is fast and therefore suitable for many applications (not only in edge computing), and therefore there is a need to gather examples of possible applications. These proceedings, for the ELM 2022 conference, cover several application areas with relevant topics, where ELM can be used and has been used with great success. Here you will find several new areas (gaming, for instance) as well as improved concepts for existing application areas (signature forgery, for instance), where ELM has been implemented. In addition, some method improvements are also covered in this book, more specifically on the topic of 2nd-order Ordinary Differential Equations (ODEs). Nº de ref. del artículo: 9783031550553
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Proceedings of Elm 2022 : Theory, Algorithms and Applications
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Condición: New. Nº de ref. del artículo: 47496709-n
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Proceedings of ELM 2022
Publicado por
Springer Nature Switzerland, Springer Nature Switzerland Mär 2024, 2024
ISBN 10: 3031550552
ISBN 13: 9783031550553
Nuevo
Tapa dura
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Neuware -This book contains selected papers from the 12th International Conference on Extreme Learning Machines 2022. Extreme learning machines (ELMs) continue to be an important complement to the many deep learning models you can find in the machine learning domain. ELM is fast and therefore suitable for many applications (not only in edge computing), and therefore there is a need to gather examples of possible applications. These proceedings, for the ELM 2022 conference, cover several application areas with relevant topics, where ELM can be used and has been used with great success. Here you will find several new areas (gaming, for instance) as well as improved concepts for existing application areas (signature forgery, for instance), where ELM has been implemented. In addition, some method improvements are also covered in this book, more specifically on the topic of 2nd-order Ordinary Differential Equations (ODEs).Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 88 pp. Englisch. Nº de ref. del artículo: 9783031550553
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Proceedings of Elm 2022 : Theory, Algorithms and Applications
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: 47496709-n
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Proceedings of Elm 2022 : Theory, Algorithms and Applications
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 47496709
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