Proceedings Elm 2016 (26 results)
Language: English
Published by Springer, 2018
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Softcover
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Language: English
Published by Springer, 2017
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Hardcover
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Proceedings of Elm-2016
Cao, Jiuwen (EDT); Cambria, Erik (EDT); Lendasse, Amaury (EDT); Miche, Yoan (EDT); Vong, Chi Man (EDT)
Language: English
Published by Springer, 2017
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Hardcover
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Proceedings of Elm-2016
Cao, Jiuwen (EDT); Cambria, Erik (EDT); Lendasse, Amaury (EDT); Miche, Yoan (EDT); Vong, Chi Man (EDT)
Language: English
Published by Springer, 2017
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Hardcover
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Proceedings of Elm-2016
Cao, Jiuwen (EDT); Cambria, Erik (EDT); Lendasse, Amaury (EDT); Miche, Yoan (EDT); Vong, Chi Man (EDT)
Language: English
Published by Springer, 2017
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Hardcover
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Language: English
Published by Springer International Publishing, 2018
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Softcover
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Language: English
Published by Springer International Publishing, 2017
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Hardcover
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Proceedings of Elm-2016
Cao, Jiuwen (EDT); Cambria, Erik (EDT); Lendasse, Amaury (EDT); Miche, Yoan (EDT); Vong, Chi Man (EDT)
Language: English
Published by Springer, 2017
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Hardcover
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Language: English
Published by Springer, 2017
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Hardcover
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More imagesLanguage: English
Published by Springer, 2018
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Softcover
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Taschenbuch. Condition: Neu. Proceedings of ELM-2016 | Jiuwen Cao (u. a.) | Taschenbuch | Proceedings in Adaptation, Learning and Optimization | xiii | Englisch | 2018 | Springer | EAN 9783319861579 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[do…t]com | Anbieter: preigu.
Language: English
Published by Springer International Publishing, Springer International Publishing, 2018
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains some selected papers from the International Conference on Extreme Learning Machine 2016, which was held in Singapore, December13-15, 2016. 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. Extreme Learning Machines (ELM) aims to break the barriers between the conventional artificial learning techniques and biological learning mechanism. ELM represents a suite of (machine or possibly biological) learning techniques in which hidden neurons need not be tuned. ELM learning theories show that very effective learning algorithms can be derived based on randomly generated hidden neurons (with almost any nonlinear piecewise activation functions), independent of training data and application environments. Increasingly, evidence from neurosciencesuggests 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. ELM offers significant advantages over conventional neural network learning algorithms such as fast learning speed, ease of implementation, and minimal need for human intervention. ELM also shows potential as a viable alternative technique for large-scale computing and artificial intelligence.This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM.
Language: English
Published by Springer, 2017
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains some selected papers from the International Conference on Extreme Learning Machine 2016, which was held in Singapore, December13-15, 2016. This conference will provide a forum for academics, researchers and engineers to share and exchan…ge R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning. Extreme Learning Machines (ELM) aims to break the barriers between the conventional artificial learning techniques and biological learning mechanism. ELM represents a suite of (machine or possibly biological) learning techniques in which hidden neurons need not be tuned. ELM learning theories show that very effective learning algorithms can be derived based on randomly generated hidden neurons (with almost any nonlinear piecewise activation functions), independent of training data and application environments. Increasingly, evidence from neurosciencesuggests 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. ELM offers significant advantages over conventional neural network learning algorithms such as fast learning speed, ease of implementation, and minimal need for human intervention. ELM also shows potential as a viable alternative technique for large-scale computing and artificial intelligence.This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM.
Language: English
Published by Springer-Verlag New York Inc, 2018
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. reprint edition. 285 pages. 9.25x6.10x0.98 inches. In Stock.
Language: English
Published by Palgrave Macmillan, 2018
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Softcover
Seller: Buchpark, Trebbin, GermanyBuchpark
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 300 | Sprache: Englisch | Produktart: Bücher | This book contains some selected papers from the International Conference on Extreme Learning Machine 2016, which was held in Singapore, December13-15, 2016. 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. Extreme Learning Machines (ELM) aims to break the barriers between the conventional artificial learning techniques and biological learning mechanism. ELM represents a suite of (machine or possibly biological) learning techniques in which hidden neurons need not be tuned. ELM learning theories show that very effective learning algorithms can be derived based on randomly generated hidden neurons (with almost any nonlinear piecewise activation functions), independent of training data and application environments. Increasingly, evidence from neurosciencesuggests 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. ELM offers significant advantages over conventional neural network learning algorithms such as fast learning speed, ease of implementation, and minimal need for human intervention. ELM also shows potential as a viable alternative technique for large¿scale computing and artificial intelligence.This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM.
Language: English
Published by Springer-Verlag New York Inc, 2017
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 298 pages. 9.25x6.10x0.79 inches. In Stock.
Language: English
Published by Springer, 2018
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Softcover
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Condition: New. pp. 285.
Language: English
Published by Springer, 2018
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Softcover
- Print on Demand
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Language: English
Published by Springer, 2017
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Hardcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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Language: English
Published by Springer International Publishing Mai 2018, 2018
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: 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 2016, which was held in Singapore, December 13-15, 2016. This conference will provide a forum for academics, researchers and engin…eers 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 break the barriers between the conventional artificial learning techniques and biological learning mechanism. ELM represents a suite of (machine or possibly biological) learning techniques in which hidden neurons need not be tuned. ELM learning theories show that very effective learning algorithms can be derived based on randomly generated hidden neurons (with almost any nonlinear piecewise activation functions), 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. ELM offers significant advantages over conventional neural network learning algorithms such as fast learning speed, ease of implementation, and minimal need for human intervention. ELM also shows potential as a viable alternative technique for large-scale computing and artificial intelligence.This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM. 300 pp. Englisch.
Language: English
Published by Springer International Publishing Mai 2017, 2017
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: 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 2016, which was held in Singapore, December 13-15, 2016. 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. Extreme Learning Machines (ELM) aims to break the barriers between the conventional artificial learning techniques and biological learning mechanism. ELM represents a suite of (machine or possibly biological) learning techniques in which hidden neurons need not be tuned. ELM learning theories show that very effective learning algorithms can be derived based on randomly generated hidden neurons (with almost any nonlinear piecewise activation functions), 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. ELM offers significant advantages over conventional neural network learning algorithms such as fast learning speed, ease of implementation, and minimal need for human intervention. ELM also shows potential as a viable alternative technique for large-scale computing and artificial intelligence.This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM. 300 pp. Englisch.
Language: English
Published by Springer, 2017
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Hardcover
- Print on Demand
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Language: English
Published by Springer, Springer Mai 2018, 2018
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: 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 2016, which was held in Singapore, December13-15, 2016. 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. Extreme Learning Machines (ELM) aims to break the barriers between the conventional artificial learning techniques and biological learning mechanism. ELMrepresents a suite of (machine or possibly biological) learning techniques in which hidden neurons need not be tuned. ELM learning theories show that very effective learning algorithms can be derived based on randomly generated hidden neurons (with almost any nonlinear piecewise activation functions), independent of training data and application environments. Increasingly, evidence from neurosciencesuggests 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. ELM offers significant advantages over conventional neural network learning algorithms such as fast learning speed, ease of implementation, and minimal need for human intervention. ELM also shows potential as a viable alternative technique for large¿scale computing and artificial intelligence.This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 300 pp. Englisch.
Language: English
Published by Springer, Springer Mai 2017, 2017
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Hardcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Buch. Condition: 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 2016, which was held in Singapore, December13-15, 2016. This conference will provide a forum for academics, researchers and engineers to shar…e 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 break the barriers between the conventional artificial learning techniques and biological learning mechanism. ELMrepresents a suite of (machine or possibly biological) learning techniques in which hidden neurons need not be tuned. ELM learning theories show that very effective learning algorithms can be derived based on randomly generated hidden neurons (with almost any nonlinear piecewise activation functions), independent of training data and application environments. Increasingly, evidence from neurosciencesuggests 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. ELM offers significant advantages over conventional neural network learning algorithms such as fast learning speed, ease of implementation, and minimal need for human intervention. ELM also shows potential as a viable alternative technique for large¿scale computing and artificial intelligence.This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 300 pp. Englisch.
Language: English
Published by Springer, 2017
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Hardcover
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Language: English
Published by Springer, 2018
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Softcover
- Print on Demand
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Condition: New. Print on Demand pp. 285.
Language: English
Published by Springer, 2018
Series: Book 5 of 10 - Proceedings in Adaptation, Learning and Optimization
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. 285.
