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Artificial Neural Networks and Machine Learning – ICANN 2018, V?ra K?rkov?; Yannis Manolopoulos; Barbara Hammer;


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Автор: V?ra K?rkov?; Yannis Manolopoulos; Barbara Hammer;
Название:  Artificial Neural Networks and Machine Learning – ICANN 2018
ISBN: 9783030014209
Издательство: Springer
Классификация:




ISBN-10: 3030014207
Обложка/Формат: Soft cover
Страницы: 632
Вес: 1.00 кг.
Дата издания: 2018
Серия: Theoretical Computer Science and General Issues
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 242 illustrations, black and white; xxviii, 632 p. 242 illus.
Размер: 234 x 156 x 34
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018.The 139 full and 28 short papers as well as 41 full poster papers and 41 short poster papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems – Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning.


Artificial Neural Networks and Machine Learning – ICANN 2018

Автор: V?ra K?rkov?; Yannis Manolopoulos; Barbara Hammer;
Название: Artificial Neural Networks and Machine Learning – ICANN 2018
ISBN: 3030014177 ISBN-13(EAN): 9783030014179
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018.The papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems – Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning.

Artificial Neural Networks and Machine Learning – ICANN 2018

Автор: V?ra K?rkov?; Yannis Manolopoulos; Barbara Hammer;
Название: Artificial Neural Networks and Machine Learning – ICANN 2018
ISBN: 3030014231 ISBN-13(EAN): 9783030014230
Издательство: Springer
Рейтинг:
Цена: 13695.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018.The papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems – Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning.

Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning

Автор: Igor V. Tetko; Ve?ra Ku?rkov?; Pavel Karpov; Fabia
Название: Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning
ISBN: 3030304833 ISBN-13(EAN): 9783030304836
Издательство: Springer
Рейтинг:
Цена: 13695.00 р.
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Описание: The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019.

Artificial Neural Networks and Machine Learning -- ICANN 2014

Автор: Stefan Wermter; Cornelius Weber; Wlodzislaw Duch;
Название: Artificial Neural Networks and Machine Learning -- ICANN 2014
ISBN: 3319111787 ISBN-13(EAN): 9783319111780
Издательство: Springer
Рейтинг:
Цена: 13416.00 р.
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Описание: The book constitutes the proceedings of the 24th International Conference on Artificial Neural Networks, ICANN 2014, held in Hamburg, Germany, in September 2014. The 107 papers included in the proceedings were carefully reviewed and selected from 173 submissions. The focus of the papers is on following topics: recurrent networks;

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation

Автор: Igor V. Tetko; V?ra K?rkov?; Pavel Karpov; Fabian
Название: Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation
ISBN: 3030304868 ISBN-13(EAN): 9783030304867
Издательство: Springer
Рейтинг:
Цена: 14813.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019.

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series

Автор: Igor V. Tetko; Ve?ra Ku?rkov?; Pavel Karpov; Fabia
Название: Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series
ISBN: 3030304892 ISBN-13(EAN): 9783030304898
Издательство: Springer
Рейтинг:
Цена: 13695.00 р.
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Описание: The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019.

Artificial Neural Networks and Machine Learning – ICANN 2016

Автор: Villa
Название: Artificial Neural Networks and Machine Learning – ICANN 2016
ISBN: 3319447777 ISBN-13(EAN): 9783319447773
Издательство: Springer
Рейтинг:
Цена: 10342.00 р.
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Описание: The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions.

Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing

Автор: Igor V. Tetko; Ve?ra Ku?rkov?; Pavel Karpov; Fabia
Название: Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing
ISBN: 3030305074 ISBN-13(EAN): 9783030305079
Издательство: Springer
Рейтинг:
Цена: 13695.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019.

Artificial Neural Networks and Machine Learning – ICANN 2016

Автор: Villa
Название: Artificial Neural Networks and Machine Learning – ICANN 2016
ISBN: 3319447807 ISBN-13(EAN): 9783319447803
Издательство: Springer
Рейтинг:
Цена: 10342.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions.

Artificial Neural Networks and Machine Learning – ICANN 2017

Автор: Alessandra Lintas; Stefano Rovetta; Paul F.M.J. Ve
Название: Artificial Neural Networks and Machine Learning – ICANN 2017
ISBN: 3319686119 ISBN-13(EAN): 9783319686110
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
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Описание: The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017. The 128 full papers included in this volume were carefully reviewed and selected from 270 submissions.

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions

Автор: Igor V. Tetko; Ve?ra Ku?rkov?; Pavel Karpov; Fabia
Название: Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions
ISBN: 3030304922 ISBN-13(EAN): 9783030304928
Издательство: Springer
Рейтинг:
Цена: 11878.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019.

Artificial Neural Networks and Machine Learning -- ICANN 2013

Автор: Valeri Mladenov; Petia Koprinkova-Hristova; G?nthe
Название: Artificial Neural Networks and Machine Learning -- ICANN 2013
ISBN: 3642407277 ISBN-13(EAN): 9783642407277
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
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Описание: The focus of the papers is on following topics: neurofinance graphical network models, brain machine interfaces, evolutionary neural networks, neurodynamics, complex systems, neuroinformatics, neuroengineering, hybrid systems, computational biology, neural hardware, bioinspired embedded systems, and collective intelligence.


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