Proceedings elm 2017 (28 resultados)
Proceedings of Elm-2017
Cao, Jiuwen (EDT); Vong, Chi Man (EDT); Miche, Yoan (EDT); Lendasse, Amaury (EDT)
Idioma: Inglés
Editorial: Springer 2018
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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Idioma: Inglés
Editorial: Springer International Publishing 2019
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Librería: moluna, Greven, Alemaniamoluna
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Idioma: Inglés
Editorial: Springer International Publishing 2018
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Librería: moluna, Greven, Alemaniamoluna
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Proceedings of Elm-2017
Cao, Jiuwen (EDT); Vong, Chi Man (EDT); Miche, Yoan (EDT); Lendasse, Amaury (EDT)
Idioma: Inglés
Editorial: Springer 2018
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 238,44
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Proceedings of Elm-2017
Cao, Jiuwen (EDT); Vong, Chi Man (EDT); Miche, Yoan (EDT); Lendasse, Amaury (EDT)
Idioma: Inglés
Editorial: Springer 2018
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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Idioma: Inglés
Editorial: Springer 2019
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Idioma: Inglés
Editorial: Springer 2018
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Proceedings of Elm-2017
Cao, Jiuwen (EDT); Vong, Chi Man (EDT); Miche, Yoan (EDT); Lendasse, Amaury (EDT)
Idioma: Inglés
Editorial: Springer 2018
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa dura
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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Más imágenesIdioma: Inglés
Editorial: Springer 2019
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Taschenbuch. Condición: Neu. Proceedings of ELM-2017 | Jiuwen Cao (u. a.) | Taschenbuch | vii | Englisch | 2019 | Springer | EAN 9783030131821 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Editorial: Springer 2019
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condición: New.
Idioma: Inglés
Editorial: Springer 2018
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Idioma: Inglés
Editorial: Springer International Publishing 2019
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains some selected papers from the International Conference on Extreme Learning Machine (ELM) 2017, held in Yantai, China, October 4-7, 2017. The book covers theories, algorithms and applications of ELM.Extreme Learning Machines (ELM)… aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental `learning particles' filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series,etc) as long as they are nonlinear piecewise continuous, independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that 'random hidden neurons' capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers.This conference will provide a forum for academics, researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning.It gives readers a glance of the most recent advances of ELM.
Idioma: Inglés
Editorial: Springer 2018
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa dura
Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Condición: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.
Idioma: Inglés
Editorial: Springer 2018
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa dura
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 217,46
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains some selected papers from the International Conference on Extreme Learning Machine (ELM) 2017, held in Yantai, China, October 4-7, 2017. The book covers theories, algorithms and applications of ELM.Extreme Learning Machines (ELM) aims t…o enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental `learning particles' filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series,etc) as long as they are nonlinear piecewise continuous, independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that 'random hidden neurons' capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers.This conference will provide a forum for academics, researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning.It gives readers a glance of the most recent advances of ELM.
Proceedings of Elm-2017
Cao, Jiuwen (Editor)/ Vong, Chi Man (Editor)/ Miche, Yoan (Editor)/ Lendasse, Amaury (Editor)
Idioma: Inglés
Editorial: Springer-Verlag New York Inc 2019
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Paperback. Condición: Brand New. reprint edition. 350 pages. 9.25x6.10x0.73 inches. In Stock.
Idioma: Inglés
Editorial: Springer 2018
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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Hardcover. Condición: New. New. book.
Proceedings of Elm-2017
Cao, Jiuwen (Editor)/ Vong, Chi Man (Editor)/ Miche, Yoan (Editor)/ Lendasse, Amaury (Editor)
Idioma: Inglés
Editorial: Springer-Verlag New York Inc 2018
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa dura
Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 350 pages. 9.25x6.10x1.02 inches. In Stock.
Idioma: Inglés
Editorial: Springer 2019
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Condición: New.
Idioma: Inglés
Editorial: Springer 2018
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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Condición: New.
Idioma: Inglés
Editorial: Springer 2019
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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Idioma: Inglés
Editorial: Springer 2019
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Idioma: Inglés
Editorial: Springer 2018
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Idioma: Inglés
Editorial: Springer International Publishing Dez 2019 2019
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book contains some selected papers from the International Conference on Extreme Learning Machine (ELM) 2017, held in Yantai, China, October 4-7, 2017. The book covers theories, algorithms and applications of ELM.Extreme Learnin…g Machines (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental `learning particles' filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc) as long as they are nonlinear piecewise continuous, independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that 'random hidden neurons' capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers.This conference will provide a forum for academics, researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning.It gives readers a glance of the most recent advances of ELM. 348 pp. Englisch.
Idioma: Inglés
Editorial: Springer International Publishing Okt 2018 2018
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa dura
- Impresión bajo demanda
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 213,99
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book contains some selected papers from the International Conference on Extreme Learning Machine (ELM) 2017, held in Yantai, China, October 4-7, 2017. The book covers theories, algorithms and applications of ELM.Extreme Learning Machi…nes (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental `learning particles' filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc) as long as they are nonlinear piecewise continuous, independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that 'random hidden neurons' capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers.This conference will provide a forum for academics, researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning.It gives readers a glance of the most recent advances of ELM. 348 pp. Englisch.
Idioma: Inglés
Editorial: Springer, Springer Dez 2019 2019
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 213,99
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book contains some selected papers from the International Conference on Extreme Learning Machine (ELM) 2017, held in Yantai, China, October 4-7, 2017. The book covers theories, algorithms and applications of ELM.Extreme Learning Ma…chines (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental `learning particles' filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series,etc) as long as they are nonlinear piecewise continuous, independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that 'random hidden neurons' capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers.This conference will provide a forum for academics, researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning.It gives readers a glance of the most recent advances of ELM.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 348 pp. Englisch.
Idioma: Inglés
Editorial: Springer, Springer Okt 2018 2018
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa dura
- Impresión bajo demanda
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 213,99
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book contains some selected papers from the International Conference on Extreme Learning Machine (ELM) 2017, held in Yantai, China, October 4-7, 2017. The book covers theories, algorithms and applications of ELM.Extreme Learning Machines…(ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental `learning particles' filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series,etc) as long as they are nonlinear piecewise continuous, independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that 'random hidden neurons' capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers.This conference will provide a forum for academics, researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning.It gives readers a glance of the most recent advances of ELM.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 348 pp. Englisch.
Idioma: Inglés
Editorial: Springer 2018
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 304,02
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Condición: New. Print on Demand.
Idioma: Inglés
Editorial: Springer 2018
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 6 de 10. Libro 6 de 10 - Proceedings in Adaptation, Learning and Optimization
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 300,36
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Condición: New. PRINT ON DEMAND.
