9783030589882 - proceedings of elm2019: 14 (11 risultati)
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 10 di 10 - Proceedings in Adaptation, Learning and Optimization
- Rilegato
Da: StainesBook, Weybridge, SURRE, Regno UnitoStainesBook
Contatta il venditoreVenditore con 1 stelleCondizione: Nuovo
EUR 116,50
EUR 35,00 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Condizione: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.
Lingua: Inglese
Editore: Springer International Publishing, 2020
Serie: Libro 10 di 10 - Proceedings in Adaptation, Learning and Optimization
- Rilegato
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 180,07
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 10 di 10 - Proceedings in Adaptation, Learning and Optimization
- Rilegato
Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 227,18
EUR 13,98 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Condizione: New. In.
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 10 di 10 - Proceedings in Adaptation, Learning and Optimization
- Rilegato
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 273,18
EUR 3,42 spedizioneSpedito in U.S.A.Quantità: 4 disponibili
Condizione: New. pp. VI, 182 79 illus., 66 illus. in color. 1 Edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 10 di 10 - Proceedings in Adaptation, Learning and Optimization
- Rilegato
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 299,53
EUR 11,67 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Hardcover. Condizione: Brand New. 188 pages. 9.25x6.10x0.67 inches. In Stock.
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 10 di 10 - Proceedings in Adaptation, Learning and Optimization
- Rilegato
- Print on Demand
Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 166,29
EUR 5,50 spedizioneSpedito da Italia a U.S.A.Quantità: Più di 20 disponibili
Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Sep 2020, 2020
Serie: Libro 10 di 10 - Proceedings in Adaptation, Learning and Optimization
- Rilegato
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 171,19
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Buch. Condizione: 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 2019, which was held in Yangzhou, China, December 14-16, 2019. Extreme Learning Machines (ELMs) aim to enable pervasive learning and per…vasive 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 ELM2019 is Hierarchical ELM, AI for IoT, Synergy of Machine Learning and Biological Learning.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. 188 pp. Englisch.
Lingua: Inglese
Editore: Palgrave Macmillan, 2020
Serie: Libro 10 di 10 - Proceedings in Adaptation, Learning and Optimization
- Rilegato
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 175,09
EUR 62,27 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book contains some selected papers from the International Conference on Extreme Learning Machine 2019, which was held in Yangzhou, China, December 14-16, 2019. Extreme Learning Machines (ELMs) aim to enable pervasive learning and pervasiv…e 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 ELM2019 is Hierarchical ELM, AI for IoT, Synergy of Machine Learning and Biological Learning.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.
Lingua: Inglese
Editore: Springer, Springer Sep 2020, 2020
Serie: Libro 10 di 10 - Proceedings in Adaptation, Learning and Optimization
- Rilegato
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 213,99
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Evolutionary Extreme Learning Machine Based Weighted Fuzzy-rough Nearest-neighbour Algorithm.-NNRW-based algorithm selection for software model checking.- An extreme learning machine method for diagnosis of patellofemoral pain syndrome.- Extr…eme Learning Machines for Signature Verification.-Website Classification from Webpage Renders.- ELM Algorithms Optimized by WOA for Motor Imagery Classification.- The Octonion Extreme Learning Machine.- Scikit-ELM: an Extreme Learning Machine toolbox for dynamic and scalable learning.- High-performance ELM for Memory Constrained Edge Computing Devices with Metal Performance Shaders.- Validating Untrained Human Annotations using Extreme Learning Machines.- ELM Feature Selection and SOM Data Visualization for Nursing Survey Dataset.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 188 pp. Englisch.
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 10 di 10 - Proceedings in Adaptation, Learning and Optimization
- Rilegato
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 288,12
EUR 7,58 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: New. Print on Demand pp. VI, 182 79 illus., 66 illus. in color.
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 10 di 10 - Proceedings in Adaptation, Learning and Optimization
- Rilegato
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 297,20
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 4 disponibili
Condizione: New. PRINT ON DEMAND pp. VI, 182 79 illus., 66 illus. in color.
