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IEEE Computational Intelligence Magazine

Issue 1 • Feb. 2015

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Displaying Results 1 - 23 of 23
  • [Front cover]

    Publication Year: 2015, Page(s): C1
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  • 2015 IEEE International Conference on Fuzzy Systems

    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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  • Top Three News Stories on IEEE CIM in 2014 [Editor's Remarks]

    Publication Year: 2015, Page(s): 2
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  • IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology

    Publication Year: 2015, Page(s): 3
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  • Big Data Analytics, Data Science and the CIS [President's Message]

    Publication Year: 2015, Page(s):4 - 5
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  • CIS Society Officers

    Publication Year: 2015, Page(s): 4
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  • Call for Papers for Journal Special Issues

    Publication Year: 2015, Page(s): 5
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  • 2015 IEEE CIS Awards [Society Briefs]

    Publication Year: 2015, Page(s):6 - 10
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  • IEEE CIS VP-Conferences Vision Statement [Society Briefs]

    Publication Year: 2015, Page(s):10 - 12
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  • IEEE CIS VP-Members Activities Vision Statement [Society Briefs]

    Publication Year: 2015, Page(s):12 - 15
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  • Conference Report on IEEE CIG 2014 [Conference Reports]

    Publication Year: 2015, Page(s):14 - 15
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  • CIS Publication Spotlight [Publication Spotlight]

    Publication Year: 2015, Page(s):16 - 17
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  • Computational Intelligence for Cloud Computing [Guest Editorial]

    Publication Year: 2015, Page(s):18 - 51
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  • 2015 IEEE Congress on Evolutionary Computation (CEC2015)

    Publication Year: 2015, Page(s): 19
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  • Bring Your Own Learner: A Cloud-Based, Data-Parallel Commons for Machine Learning

    Publication Year: 2015, Page(s):20 - 32
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4289 KB) | HTML iconHTML

    We introduce FCUBE, a cloud-based framework that enables machine learning researchers to contribute their learners to its community-shared repository. FCUBE exploits data parallelism in lieu of algorithmic parallelization to allow its users to efficiently tackle large data problems automatically. It passes random subsets of data generated via resampling to multiple learners that it executes simult... View full abstract»

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  • Efficient Heuristics for Profit Optimization of Virtual Cloud Brokers

    Publication Year: 2015, Page(s):33 - 43
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2006 KB) | HTML iconHTML

    This article introduces a new kind of broker for cloud computing, whose business relies on outsourcing virtual machines (VMs) to its customers. More specifically, the broker owns a number of reserved instances of different VMs from several cloud providers and offers them to its customers in an on-demand basis, at cheaper prices than those of the cloud providers. The essence of the business resides... View full abstract»

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  • Employing Type-2 Fuzzy Logic Systems in the Efforts to Realize Ambient Intelligent Environments [Application Notes]

    Publication Year: 2015, Page(s):44 - 51
    Cited by:  Papers (6)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2750 KB) | HTML iconHTML

    Ambient Intelligence (AmI) is an emerging vision that aims to realize intelligent environments which are sensitive and responsive to the users' needs and behaviors. This paper presents an insight on the benefits that type-2 Fuzzy Logic Systems (FLSs) can offer towards the efforts to realize Ambient Intelligent Environments (AIEs). We will introduce research results from the Scaleup project showing... View full abstract»

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  • Personalized Recommendation Based on Evolutionary Multi-Objective Optimization [Research Frontier]

    Publication Year: 2015, Page(s):52 - 62
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1721 KB) | HTML iconHTML

    Traditional recommendation techniques in recommender systems mainly focus on improving recommendation accuracy. However, personalized recommendation, which considers the multiple needs of users and can make both accurate and diverse recommendations, is more suitable for modern recommender systems. In this paper, the task of personalized recommendation is modeled as a multi-objective optimization p... View full abstract»

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  • [Conference Calendar]

    Publication Year: 2015, Page(s): 63
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  • 2015 IEEE Conference on Computational Intelligence and Games

    Publication Year: 2015, Page(s): C3
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  • IEEE World Congress on Computational Intelligence

    Publication Year: 2015, Page(s): C4
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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). 

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