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IEEE Computational Intelligence Magazine

Issue 4 • Nov. 2015

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  • Front Cover

    Publication Year: 2015, Page(s): C1
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  • IEEE WCCI 2016

    Publication Year: 2015, Page(s): C2
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  • Table of Contents

    Publication Year: 2015, Page(s): 1
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  • CIM Editorial Board

    Publication Year: 2015, Page(s): 2
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  • Talking with Young Researchers [Editor's Remarks]

    Publication Year: 2015, Page(s): 2
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  • A Growing Story [President's Message]

    Publication Year: 2015, Page(s): 3
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  • CIS Society Officers

    Publication Year: 2015, Page(s): 3
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  • Conference Report on 2015 IEEE Congress on Evolutionary Computation (IEEE CEC 2015) [Conference Reports]

    Publication Year: 2015, Page(s):4 - 5
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  • IEEE CIVEMSA 2015-Computational Intelligence and Virtual Environments for Measurement Systems and Applications [Conference Reports]

    Publication Year: 2015, Page(s):5 - 6
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  • CIS Publication Spotlight [Publication Spotlight]

    Publication Year: 2015, Page(s):7 - 9
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  • Call for Papers for Journal Special Issues

    Publication Year: 2015, Page(s): 9
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  • Computational Intelligence for Changing Environments [Guest Editorial]

    Publication Year: 2015, Page(s):10 - 11
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  • Learning in Nonstationary Environments: A Survey

    Publication Year: 2015, Page(s):12 - 25
    Cited by:  Papers (29)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2720 KB) | HTML iconHTML

    The prevalence of mobile phones, the internet-of-things technology, and networks of sensors has led to an enormous and ever increasing amount of data that are now more commonly available in a streaming fashion [1]-[5]. Often, it is assumed - either implicitly or explicitly - that the process generating such a stream of data is stationary, that is, the data are drawn from a fixed, albeit unknown pr... View full abstract»

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  • Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns

    Publication Year: 2015, Page(s):26 - 36
    Cited by:  Papers (27)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2004 KB) | HTML iconHTML

    Emulating the human brain is one of the core challenges of computational intelligence, which entails many key problems of artificial intelligence, including understanding human language, reasoning, and emotions. In this work, computational intelligence techniques are combined with common-sense computing and linguistics to analyze sentiment data flows, i.e., to automatically decode how humans expre... View full abstract»

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  • The Hebbian-LMS Learning Algorithm

    Publication Year: 2015, Page(s):37 - 53
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4435 KB) | HTML iconHTML

    Hebbian learning is widely accepted in the fields of psychology, neurology, and neurobiology. It is one of the fundamental premises of neuroscience. The LMS (least mean square) algorithm of Widrow and Hoff is the world's most widely used adaptive algorithm, fundamental in the fields of signal processing, control systems, pattern recognition, and artificial neural networks. These are very different... View full abstract»

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  • An Ant Colony Optimization and Tabu List Approach to the Detection of Gene-Gene Interactions in Genome-Wide Association Studies [Research Frontier]

    Publication Year: 2015, Page(s):54 - 65
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3514 KB) | HTML iconHTML

    In this paper, a novel ant colony optimization and tabu list approach for the discovery of gene-gene interactions in genome-wide association study data is proposed. The method is tested on a number of diseases drawn from the large established database, the Wellcome Trust Case Control Consortium which contains hundreds of thousands of small DNA changes known as single nucleotide polymorphisms. To a... View full abstract»

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  • An Ambient Intelligent and Energy Efficient Food Preparation System Using Linear General Type-2 Fuzzy Logic Based Computing with Words Framework [Application Notes]

    Publication Year: 2015, Page(s):66 - 78
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3636 KB) | HTML iconHTML

    Ambient Intelligence (AmI) is a multidisciplinary paradigm, which positively alters the relationship between humans and technology. Concerning home environments, the functions of AmI vision include home automation, communication, entertainment, working and learning. In the area of communication, AmI still needs better mechanisms for human-computer communication. A natural human-computer interactio... View full abstract»

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  • [Conference Calendar]

    Publication Year: 2015, Page(s): 79
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  • 2015 Index IEEE Computational Intelligence Magazine Vol. 10 [Year-End Index]

    Publication Year: 2015, Page(s): 1
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  • 2016 IEEE Symposium Series on Copmutational Intelligence

    Publication Year: 2015, Page(s): C3
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Aims & Scope

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications, in keeping with the Field of Interest of the IEEE Computational Intelligence Society (IEEE/CIS). 

Full Aims & Scope