Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 54,86
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 229,96
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 229,96
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 229,94
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Editore: Springer International Publishing, 2024
ISBN 10: 3031216806 ISBN 13: 9783031216800
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 235,39
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains papers from the International Conference on Extreme Learning Machine 2021, which was held in virtual on December 15-16, 2021. 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 dataand 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 provides 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. This book covers theories, algorithms, and applications of ELM. It gives readers a glance of the most recent advances of ELM.
Editore: Springer International Publishing, 2023
ISBN 10: 3031216776 ISBN 13: 9783031216770
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 235,39
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains papers from the International Conference on Extreme Learning Machine 2021, which was held in virtual on December 15-16, 2021. 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 dataand 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 provides 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. This book covers theories, algorithms, and applications of ELM. It gives readers a glance of the most recent advances of ELM.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 249,28
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 252,76
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 253,38
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Da: Books Puddle, New York, NY, U.S.A.
EUR 293,32
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Aggiungi al carrelloCondizione: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
Da: Books Puddle, New York, NY, U.S.A.
EUR 293,73
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Da: Revaluation Books, Exeter, Regno Unito
EUR 341,74
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Aggiungi al carrelloPaperback. Condizione: Brand New. 180 pages. 9.25x6.10x0.41 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 343,69
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Aggiungi al carrelloHardcover. Condizione: Brand New. 180 pages. 9.25x6.10x0.44 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 240,50
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Aggiungi al carrelloHardcover. Condizione: Brand New. 180 pages. 9.25x6.10x0.44 inches. In Stock. This item is printed on demand.
Da: Majestic Books, Hounslow, Regno Unito
EUR 303,05
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Da: Majestic Books, Hounslow, Regno Unito
EUR 304,25
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 315,54
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 314,52
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