9783030233099 - proceedings of elm 2018: 11 (proceedings in adaptation, learning and optimization) (14 resultados)
Idioma: Inglés
Editorial: Springer International Publishing 2020
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 7 de 10. Libro 7 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa blanda
Librería: moluna, Greven, , Alemaniamoluna
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 180,07
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
Idioma: Inglés
Editorial: Springer 2020
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 7 de 10. Libro 7 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa blanda
Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 225,70
Envío por EUR 13,89Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. In.
Proceedings of Elm 2018
Cao, Jiuwen (EDT); Vong, Chi Man (EDT); Miche, Yoan (EDT); Lendasse, Amaury (EDT)
Idioma: Inglés
Editorial: Springer 2020
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 7 de 10. Libro 7 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa blanda
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 238,49
Envío por EUR 2,28Se envía dentro de Estados Unidos de AmericaCantidad disponible: 15 disponibles
Condición: New.
Proceedings of Elm 2018
Cao, Jiuwen (EDT); Vong, Chi Man (EDT); Miche, Yoan (EDT); Lendasse, Amaury (EDT)
Idioma: Inglés
Editorial: Springer 2020
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 7 de 10. Libro 7 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa blanda
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 241,95
Envío por EUR 2,28Se envía dentro de Estados Unidos de AmericaCantidad disponible: 15 disponibles
Condición: As New. Unread book in perfect condition.
Más imágenesIdioma: Inglés
Editorial: Springer 2020
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 7 de 10. Libro 7 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa blanda
Librería: preigu, Osnabrück, Alemaniapreigu
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 184,85
Envío por EUR 70,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 5 disponibles
Taschenbuch. Condición: Neu. Proceedings of ELM 2018 | Jiuwen Cao (u. a.) | Taschenbuch | viii | Englisch | 2020 | Springer | EAN 9783030233099 | 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 2020
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 7 de 10. Libro 7 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa blanda
Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 273,14
Envío por EUR 3,44Se envía dentro de Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. pp. 347 1st ed. 2020 edition NO-PA16APR2015-KAP.
Idioma: Inglés
Editorial: Springer International Publishing 2020
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 7 de 10. Libro 7 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa blanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 213,99
Envío por EUR 62,70Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains some selected papers from the International Conference on Extreme Learning Machine 2018, which was held in Singapore, November 21-23, 2018. This conference provided a forum for academics, researchers and engineers to share and ex…change R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning.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. The main theme of ELM2018 is Hierarchical ELM, AI for IoT, Synergy of Machine Learning and Biological Learning.This book covers theories, algorithms and applications of ELM. It gives readers a glance at the most recent advances of ELM.
Proceedings of Elm 2018
Cao, Jiuwen (Editor)/ Vong, Chi Man (Editor)/ Miche, Yoan (Editor)/ Lendasse, Amaury (Editor)
Idioma: Inglés
Editorial: Springer Nature 2020
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 7 de 10. Libro 7 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa blanda
Librería: Revaluation Books, Exeter, , Reino UnidoRevaluation Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 303,88
Envío por EUR 14,49Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Paperback. Condición: Brand New. 356 pages. 9.25x6.10x0.74 inches. In Stock.
Idioma: Inglés
Editorial: Springer 2020
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 7 de 10. Libro 7 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa blanda
Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 310,42
Envío por EUR 28,98Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: New. New. book.
Idioma: Inglés
Editorial: Springer 2020
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 7 de 10. Libro 7 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa blanda
- Impresión bajo demanda
Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
Contactar con el vendedorVendedor de 3 estrellasCondición: Nuevo
EUR 166,29
Envío por EUR 6,80Se envía de Italia a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer International Publishing Aug 2020 2020
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 7 de 10. Libro 7 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa blanda
- 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
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 2018, which was held in Singapore, November 21-23, 2018. This conference provided 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.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. The main theme of ELM2018 is Hierarchical ELM, AI for IoT, Synergy of Machine Learning and Biological Learning.This book covers theories, algorithms and applications of ELM. It gives readers a glance at the most recent advances of ELM. 356 pp. Englisch.
Idioma: Inglés
Editorial: Springer, Springer Aug 2020 2020
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 7 de 10. Libro 7 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa blanda
- 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
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 2018, which was held in Singapore, November 21-23, 2018. This conference provided 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.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. The main theme of ELM2018 is Hierarchical ELM, AI for IoT, Synergy of Machine Learning and Biological Learning.This book covers theories, algorithms and applications of ELM. It gives readers a glance at the most recent advances of ELM.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 356 pp. Englisch.
Idioma: Inglés
Editorial: Springer 2020
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 7 de 10. Libro 7 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa blanda
- Impresión bajo demanda
Librería: Majestic Books, Hounslow, , Reino UnidoMajestic Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 291,85
Envío por EUR 7,53Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. Print on Demand pp. 347.
Idioma: Inglés
Editorial: Springer 2020
Serie: Proceedings in Adaptation, Learning and Optimization, Libro 7 de 10. Libro 7 de 10 - Proceedings in Adaptation, Learning and Optimization
- Tapa blanda
- Impresión bajo demanda
Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 290,76
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. PRINT ON DEMAND pp. 347.
