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Intelligent Data Engineering and Automated Learning – IDEAL 2015, Konrad Jackowski; Robert Burduk; Krzysztof Walkowi


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Цена: 10062.00р.
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Автор: Konrad Jackowski; Robert Burduk; Krzysztof Walkowi
Название:  Intelligent Data Engineering and Automated Learning – IDEAL 2015
ISBN: 9783319248332
Издательство: Springer
Классификация:

ISBN-10: 3319248332
Обложка/Формат: Paperback
Страницы: 560
Вес: 0.80 кг.
Дата издания: 01.10.2015
Серия: Information Systems and Applications, incl. Internet/Web, and HCI
Язык: English
Размер: 234 x 156 x 30
Основная тема: Computer Science
Подзаголовок: 16th International Conference, Wroclaw, Poland, October 14-16, 2015, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Evolutionary algorithms.- Neural networks.- Probabilistic modeling.- Swarm intelligent, multi-objective optimization, and practical applications in regression.- Classification.- Clustering.-Biological data processing.- Text processing.- Video analysis.- Computational intelligence for optimization of communication networks.- Discovering knowledge from data.- Simulation-driven DES-like modeling and performance evaluation.- Intelligent applications in real-world problems.


Intelligent Data Engineering and Automated Learning - IDEAL 2009

Автор: Emilio Corchado; Hujun Yin
Название: Intelligent Data Engineering and Automated Learning - IDEAL 2009
ISBN: 3642043933 ISBN-13(EAN): 9783642043932
Издательство: Springer
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Цена: 19564.00 р.
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Intelligent Data Engineering and Automated Learning – IDEAL 2016

Автор: Yin
Название: Intelligent Data Engineering and Automated Learning – IDEAL 2016
ISBN: 3319462563 ISBN-13(EAN): 9783319462561
Издательство: Springer
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Цена: 11460.00 р.
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Описание: This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016. The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from methodologies, frameworks, and techniques to applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis; applications in regression, classification, clustering, medical and biological modeling and predication; text processing and image analysis.

Intelligent Data Engineering and Automated Learning – IDEAL 2017

Автор: Hujun Yin; Yang Gao; Songcan Chen; Yimin Wen; Guoy
Название: Intelligent Data Engineering and Automated Learning – IDEAL 2017
ISBN: 3319689347 ISBN-13(EAN): 9783319689340
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2017, held in Guilin, China, in October/November 2017. The 65 full papers presented were carefully reviewed and selected from 110 submissions.

Machine Learning and Systems Engineering

Автор: Sio-Iong Ao; Burghard B. Rieger; Mahyar Amouzegar
Название: Machine Learning and Systems Engineering
ISBN: 9400733747 ISBN-13(EAN): 9789400733749
Издательство: Springer
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Цена: 28732.00 р.
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Описание: A large international conference on Advances in Machine Learning and Systems Engineering was held in UC Berkeley, California, USA, October 20-22, 2009, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2009).

Intelligent Science and Intelligent Data Engineering

Автор: Jian Yang; Fang Fang; Changyin Sun
Название: Intelligent Science and Intelligent Data Engineering
ISBN: 3642366686 ISBN-13(EAN): 9783642366680
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the proceedings of the third Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering, IScIDE 2012, held in Nanjing, China, in October 2012. computer vision and image processing; knowledge discovery, data mining, and web mining;

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

Автор: Kelleher John D., Macnamee Brian, D`Arcy Aoife
Название: Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
ISBN: 0262029448 ISBN-13(EAN): 9780262029445
Издательство: MIT Press
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Цена: 13543.00 р.
Наличие на складе: Нет в наличии.

Описание:

A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.

After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.

Knowledge-Based Intelligent Information and Engineering Systems

Автор: Ignac Lovrek
Название: Knowledge-Based Intelligent Information and Engineering Systems
ISBN: 3540855661 ISBN-13(EAN): 9783540855668
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Constitutes the refereed proceedings of the 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008, held in Zagreb, Croatia, in September 2008. This volume covers topics such as intelligent data processing in process systems and plants; and, neural information processing for data mining.

Knowledge-Based Intelligent Information and Engineering Systems

Автор: Ignac Lovrek
Название: Knowledge-Based Intelligent Information and Engineering Systems
ISBN: 3540855629 ISBN-13(EAN): 9783540855620
Издательство: Springer
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Цена: 16070.00 р.
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Описание: Constitutes the proceedings of the 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008, held in Zagreb, Croatia, in September 2008. This volume covers topics such as artificial neural networks and connectionists systems; fuzzy and neuro-fuzzy systems; and, evolutionary computation.

Machine Learning and Intelligent Communications

Автор: Huang Xin-lin
Название: Machine Learning and Intelligent Communications
ISBN: 3319527290 ISBN-13(EAN): 9783319527291
Издательство: Springer
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Цена: 8106.00 р.
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Описание:

Data mining in heterogeneous networks.- decentralized learning for wireless communication systems.- intelligent cooperative/distributed coding, intelligent cooperative networks.- iIntelligent massive MIMO, .- time coded multi-user MIMO system based on three dimensional complementary codes.- intelligent positioning and navigation systems.- intelligent spectrum allocation schemes.- machine learning algorithm &.- cognitive radio networks, machine learning for multimedia.

Knowledge Engineering, Machine Learning and Lattice Computing with Applications

Автор: Manuel Grana; Carlos Toro; Robert J. Howlett; Lakh
Название: Knowledge Engineering, Machine Learning and Lattice Computing with Applications
ISBN: 3642373429 ISBN-13(EAN): 9783642373428
Издательство: Springer
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Цена: 6429.00 р.
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Описание: This book constitutes the refereed proceedings of the 16th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2012, held in San Sebastian, Spain, in September 2012.


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