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IEEE Computational Intelligence Magazine

Issue 4 • Date Nov. 2012

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Displaying Results 1 - 24 of 24
  • [Front cover]

    Publication Year: 2012, Page(s): C1
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  • IEEE Computational Intelligence Society Publications

    Publication Year: 2012, Page(s): C2
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  • [Table of contents]

    Publication Year: 2012, Page(s): 1
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  • CIM Editorial Board

    Publication Year: 2012, Page(s): 2
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  • Propelling Bioinformatics a Notch Higher [Editor's Remarks]

    Publication Year: 2012, Page(s):2 - 12
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  • Strength of Diversity [President's Message]

    Publication Year: 2012, Page(s):3 - 12
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  • CIS Society Officers

    Publication Year: 2012, Page(s): 3
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  • 2013 IEEE CIS Awards [Society Briefs]

    Publication Year: 2012, Page(s):4 - 9
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  • Computational Intelligence Meets Game of Go @ IEEE WCCI 2012 [Society Briefs]

    Publication Year: 2012, Page(s):10 - 12
    Cited by:  Papers (3)
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  • CIS Publication Spotlight [Publication Spotlight]

    Publication Year: 2012, Page(s):13 - 14
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  • IEEE World Congress on Computational Intelligence 2012 (IEEE WCCI 2012) [Conference Reports]

    Publication Year: 2012, Page(s):15 - 17
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  • 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2012) [Conference Reports]

    Publication Year: 2012, Page(s): 17
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  • IEEE CIM List of Reviewers 2012 [Reviewers]

    Publication Year: 2012, Page(s):18 - 19
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  • CIS Transactions Introduce Mandatory Over-Length Page Charges

    Publication Year: 2012, Page(s): 19
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  • Special Issue on Computational Intelligence in Bioinformatics [Guest Editorial]

    Publication Year: 2012, Page(s):20 - 21
    Cited by:  Papers (1)
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  • Data Mining Over Biological Datasets: An Integrated Approach Based on Computational Intelligence

    Publication Year: 2012, Page(s):22 - 34
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1814 KB) | HTML iconHTML

    Biology is in the middle of a data explosion. The technical advances achieved by the genomics, metabolomics, transcriptomics and proteomics technologies in recent years have significantly increased the amount of data that are available for biologists to analyze different aspects of an organism. However, *omics data sets have several additional problems: they have inherent biological complexity and... View full abstract»

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  • An analysis pipeline with statistical and visualization-guided knowledge discovery for Michigan-style learning classifier systems

    Publication Year: 2012, Page(s):35 - 45
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1729 KB) | HTML iconHTML

    Michigan-style learning classifier systems (M-LCSs) represent an adaptive and powerful class of evolutionary algorithms which distribute the learned solution over a sizable population of rules. However their application to complex real world data mining problems, such as genetic association studies, has been limited. Traditional knowledge discovery strategies for M-LCS rule populations involve sor... View full abstract»

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  • A Systems Biology Approach to Solving the Puzzle of Unknown Genomic Gene-Function Association Using Grid-Ready SVM Committee Machines

    Publication Year: 2012, Page(s):46 - 54
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1628 KB) | HTML iconHTML

    Genomic researchers face the common challenge of deriving the functions of genes and proteins from high-throughput data. Experimental validation of protein function is costly and time-consuming. With the increased effectiveness of computational intelligence approaches, researchers aim to target the problem with in silico prediction of protein interactions and functions. We propose a systems biolog... View full abstract»

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  • Enhanced Encoding with Improved Fuzzy Decision Tree Testing Using CASP Templates

    Publication Year: 2012, Page(s):55 - 60
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1318 KB) | HTML iconHTML

    A novel protein model assessment technique using an improved fuzzy decision tree was tested using CASP8 and CASP9 templates. The testing was conducted in three phases. In the first two phases, templates were classified without explicit scoring. In phase three, a new scoring method was created for performance evaluation. The new protein model assessment technique was compared with several common pr... View full abstract»

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  • Novel Recurrent Neural Network for Time-Varying Problems Solving [Research Frontier]

    Publication Year: 2012, Page(s):61 - 65
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (761 KB) | HTML iconHTML

    By following the inspirational work of McCulloch and Pitts [1], lots of neural networks have been proposed, developed and studied for scientific research and engineering applications [2][18]. For instance, one classical neural network is Hopfield neural network (HNN) which was proposed by Hopfield in the early 1980s [2]. Another classical neural network is based on the error back-propagation (BP) ... View full abstract»

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  • A Fully Decentralized Multi-Agent System for Intelligent Restoration of Power Distribution Network Incorporating Distributed Generations [Application Notes]

    Publication Year: 2012, Page(s):66 - 76
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1101 KB) | HTML iconHTML

    In the distribution network fault management, service restoration is a very important component. When a fault occurs, it is necessary to restore power to these deenergized loads as soon as possible. The restoration problem could be formulated as a multilevel, multi-objective optimization problem with constraints [1]. View full abstract»

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  • Bio-Inspired Self-Organizing Robotic Systems (Meng, Y. and Jin, Y.; 2011) [Book Review]

    Publication Year: 2012, Page(s):77 - 80
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  • [Conference Calendar]

    Publication Year: 2012, Page(s):79 - 80
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  • IJCNN

    Publication Year: 2012, 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