IEEE Transactions on Emerging Topics in Computational Intelligence

Issue 6 • Dec. 2018

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  • Table of Contents

    Publication Year: 2018, Page(s): C1
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  • IEEE Transactions on Emerging Topics in Computational Intelligence

    Publication Year: 2018, Page(s): C2
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  • Three Branches of Negative Representation of Information: A Survey

    Publication Year: 2018, Page(s):411 - 425
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1381 KB) | HTML iconHTML

    Negative Representation of Information (NRI) is an emerging topic that is primarily inspired by the self-nonself discrimination paradigm of the biological immune system, and it is mainly used as an emerging technique for security and privacy. For the first time, this paper provides a survey of the models and algorithms that are based on Negative Representation of Information. Thus... View full abstract»

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  • Accurate Content Push for Content-Centric Social Networks: A Big Data Support Online Learning Approach

    Publication Year: 2018, Page(s):426 - 438
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1607 KB) | HTML iconHTML

    With the rapid growth of the social network, information overload becomes a critical issue. Service providers push a lot of redundant contents and advertisements to users every day. Thus, users’ interests and the probability of reading them have dropped considerably and the network load is wasted. To address this issue, accurate content push is needed, where the main challenges are proving precise... View full abstract»

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  • Proximal Alternating Minimization for Analysis Dictionary Learning and Convergence Analysis

    Publication Year: 2018, Page(s):439 - 449
    Cited by:  Papers (3)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (716 KB) | HTML iconHTML

    The sparse analysis model is an alternative approach to the sparse synthesis model that has emerged recently. Most analysis dictionary learning problems based on the sparse analysis model require solving a class of challenging nonsmooth and even nonconvex optimization problems. Despite the fact that many numerical methods have been developed for solving these problems, it remains an open problem t... View full abstract»

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  • Learning Latent Features With Infinite Nonnegative Binary Matrix Trifactorization

    Publication Year: 2018, Page(s):450 - 463
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (4268 KB) | HTML iconHTML

    Nonnegative matrix factorization (NMF) has been widely exploited in many computational intelligence and pattern recognition problems. In particular, it can be used to extract latent features from data. However, previous NMF models often assume a fixed number of features, which are normally tuned and searched using a trial and error approach. Learning binary features is also difficult, since the bi... View full abstract»

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  • Adaptive Weight-Based Self Reconfiguration of Smart Distribution Network With Intelligent Agents

    Publication Year: 2018, Page(s):464 - 472
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1181 KB) | HTML iconHTML

    This work proposes an improved restorative algorithm for distribution systems with load priority consideration. The proposed algorithm takes into consideration about the optimization of the network while continuous monitoring for changes in system load conditions with a prevention mechanism for network reconguration with respect to small load changes. A simple adaptive, weight-based self reconfigu... View full abstract»

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  • 2018 List of Reviewers

    Publication Year: 2018, Page(s):473 - 478
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Aims & Scope

The IEEE Transactions on Emerging Topics in Computational Intelligence publishes original articles on emerging aspects of computational intelligence, including theory, applications, and surveys.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief:

Yew-Soon Ong
School of Computer Science & Engineering
Nanyang Technological University
N4-02a-20
50 Nanyang Avenue
Singapore 639798
http://www.ntu.edu.sg/home/asysong
Tel: (65) 6790-578
Fax: (65) 6791-941
Email: d-scse@ntu.edu.sg
Web: www.ntu.edu.sg/scse