[PDF] intelligent data engineering and automated learning ideal 2011 eBook Full

Intelligent Data Engineering And Automated Learning Ideal 2011

Author: Hujun Yin
Publisher: Springer Science & Business Media
ISBN: 3642238777
Size: 52.19 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 513
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This book constitutes the refereed proceedings of the 12th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2011, held in Norwich, UK, in September 2011. The 59 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.

Intelligent Data Engineering And Automated Learning Ideal 2020

Author: Cesar Analide
Publisher: Springer Nature
ISBN: 3030623653
Size: 78.89 MB
Format: PDF
Category :
Languages : en
Pages :
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Intelligent Data Engineering And Automated Learning Ideal 2016

Author: Hujun Yin
Publisher: Springer
ISBN: 3319462571
Size: 22.47 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 647
View: 2652

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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 2012

Author: Hujun Yin
Publisher: Springer
ISBN: 3642326390
Size: 72.91 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 862
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This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012, held in Natal, Brazil, in August 2012. The 100 revised full papers presented were carefully reviewed and selected from more than 200 submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.

Intelligent Data Engineering And Automated Learning Ideal 2014

Author: Emilio Corchado
Publisher: Springer
ISBN: 3319108409
Size: 38.64 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 508
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This book constitutes the refereed proceedings of the 15th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2014, held in Salamanca, Spain, in September 2014. The 60 revised full papers presented were carefully reviewed and selected from about 120 submissions. These papers provided a valuable collection of recent research outcomes in data engineering and automated learning, from methodologies, frameworks, and techniques to applications. In addition the conference provided a good sample of current topics from methodologies, frameworks, and techniques to applications and case studies. The techniques include computational intelligence, big data analytics, social media techniques, multi-objective optimization, regression, classification, clustering, biological data processing, text processing, and image/video analysis.

Intelligent Data Engineering And Automated Learning Ideal 2013

Author: Hujun Yin
Publisher: Springer
ISBN: 3642412785
Size: 67.91 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 639
View: 175

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This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2013, held in Hefei, China, in October 2013. The 76 revised full papers presented were carefully reviewed and selected from more than 130 submissions. These papers provided a valuable collection of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, neural networks, probabilistic modelling, swarm intelligent, multi-objective optimisation, and practical applications in regression, classification, clustering, biological data processing, text processing, video analysis, including a number of special sessions on emerging topics such as adaptation and learning multi-agent systems, big data, swarm intelligence and data mining, and combining learning and optimisation in intelligent data engineering.