IEEE Transactions on Cybernetics

Issue 1 • Jan. 2014

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Displaying Results 1 - 16 of 16
  • Table of contents

    Publication Year: 2014, Page(s): C1
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  • IEEE Transactions on Cybernetics publication information

    Publication Year: 2014, Page(s): C2
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  • Kernel Density Estimation, Kernel Methods, and Fast Learning in Large Data Sets

    Publication Year: 2014, Page(s):1 - 20
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2582 KB) | HTML iconHTML

    Kernel methods such as the standard support vector machine and support vector regression trainings take O(N3) time and O(N2) space complexities in their naïve implementations, where N is the training set size. It is thus computationally infeasible in applying them to large data sets, and a replacement of the naive method for finding the quadratic programming (QP) solu... View full abstract»

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  • Non-Naive Bayesian Classifiers for Classification Problems With Continuous Attributes

    Publication Year: 2014, Page(s):21 - 39
    Cited by:  Papers (31)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1364 KB) | HTML iconHTML

    An important way to improve the performance of naive Bayesian classifiers (NBCs) is to remove or relax the fundamental assumption of independence among the attributes, which usually results in an estimation of joint probability density function (p.d.f.) instead of the estimation of marginal p.d.f. in the NBC design. This paper proposes a non-naive Bayesian classifier (NNBC) in which the independen... View full abstract»

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  • A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization

    Publication Year: 2014, Page(s):40 - 53
    Cited by:  Papers (38)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (15261 KB) | HTML iconHTML

    This paper investigates how to use prediction strategies to improve the performance of multiobjective evolutionary optimization algorithms in dealing with dynamic environments. Prediction-based methods have been applied to predict some isolated points in both dynamic single objective optimization and dynamic multiobjective optimization. We extend this idea to predict a whole population by consider... View full abstract»

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  • On Constructing Seminal Paper Genealogy

    Publication Year: 2014, Page(s):54 - 65
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (520 KB) | HTML iconHTML

    Let us consider that someone is starting a research on a topic that is unfamiliar to them. Which seminal papers have influenced the topic the most? What is the genealogy of the seminal papers in this topic? These are the questions that they can raise, which we try to answer in this paper. First, we propose an algorithm that finds a set of seminal papers on a given topic. We also address the perfor... View full abstract»

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  • Online Adaboost-Based Parameterized Methods for Dynamic Distributed Network Intrusion Detection

    Publication Year: 2014, Page(s):66 - 82
    Cited by:  Papers (18)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2098 KB) | HTML iconHTML

    Current network intrusion detection systems lack adaptability to the frequently changing network environments. Furthermore, intrusion detection in the new distributed architectures is now a major requirement. In this paper, we propose two online Adaboost-based intrusion detection algorithms. In the first algorithm, a traditional online Adaboost process is used where decision stumps are used as wea... View full abstract»

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  • Turbo Processing for Speech Recognition

    Publication Year: 2014, Page(s):83 - 91
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2580 KB) | HTML iconHTML

    Speech recognition is a classic example of a human/machine interface, typifying many of the difficulties and opportunities of human/machine interaction. In this paper, speech recognition is used as an example of applying turbo processing principles to the general problem of human/machine interface. Speech recognizers frequently involve a model representing phonemic information at a local level, fo... View full abstract»

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  • Corner Sort for Pareto-Based Many-Objective Optimization

    Publication Year: 2014, Page(s):92 - 102
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1581 KB) | HTML iconHTML

    Nondominated sorting plays an important role in Pareto-based multiobjective evolutionary algorithms (MOEAs). When faced with many-objective optimization problems multiobjective optimization problems (MOPs) with more than three objectives, the number of comparisons needed in nondominated sorting becomes very large. In view of this, a new corner sort is proposed in this paper. Corner sort first adop... View full abstract»

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  • Semantic Search-Based Genetic Programming and the Effect of Intron Deletion

    Publication Year: 2014, Page(s):103 - 113
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1872 KB) | HTML iconHTML

    The concept of semantics (in the sense of input-output behavior of solutions on training data) has been the subject of a noteworthy interest in the genetic programming (GP) research community over the past few years. In this paper, we present a new GP system that uses the concept of semantics to improve search effectiveness. It maintains a distribution of different semantic behaviors and biases th... View full abstract»

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  • Radial Basis Function Based Neural Network for Motion Detection in Dynamic Scenes

    Publication Year: 2014, Page(s):114 - 125
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (9567 KB) | HTML iconHTML

    Motion detection, the process which segments moving objects in video streams, is the first critical process and plays an important role in video surveillance systems. Dynamic scenes are commonly encountered in both indoor and outdoor situations and contain objects such as swaying trees, spouting fountains, rippling water, moving curtains, and so on. However, complete and accurate motion detection ... View full abstract»

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  • Route 20, Autobahn 7, and Slime Mold: Approximating the Longest Roads in USA and Germany With Slime Mold on 3-D Terrains

    Publication Year: 2014, Page(s):126 - 136
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (14652 KB) | HTML iconHTML

    A cellular slime mould Physarum polycephalum is a monstrously large single cell visible by an unaided eye. The slime mold explores space in parallel, is guided by gradients of chemoattractants, and propagates toward sources of nutrients along nearly shortest paths. The slime mold is a living prototype of amorphous biological computers and robotic devices capable of solving a range of tasks of grap... View full abstract»

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  • Localized Multiple Kernel Learning Via Sample-Wise Alternating Optimization

    Publication Year: 2014, Page(s):137 - 148
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (9915 KB) | HTML iconHTML

    Our objective is to train support vector machines (SVM)-based localized multiple kernel learning (LMKL), using the alternating optimization between the standard SVM solvers with the local combination of base kernels and the sample-specific kernel weights. The advantage of alternating optimization developed from the state-of-the-art MKL is the SVM-tied overall complexity and the simultaneous optimi... View full abstract»

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  • Multiresolution Imaging

    Publication Year: 2014, Page(s):149 - 160
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1307 KB) | HTML iconHTML

    Imaging resolution has been standing as a core parameter in various applications of vision. Mostly, high resolutions are desirable or essential for many applications, e.g., in most remote sensing systems, and therefore much has been done to achieve a higher resolution of an image based on one or a series of images of relatively lower resolutions. On the other hand, lower resolutions are also prefe... View full abstract»

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  • IEEE Systems, Man, and Cybernetics Society Information

    Publication Year: 2014, Page(s): C3
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  • IEEE Transactions on Cybernetics information for authors

    Publication Year: 2014, Page(s): C4
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Aims & Scope

The scope of the IEEE Transactions on Cybernetics includes computational approaches to the field of cybernetics.

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Meet Our Editors

Editor-in-Chief
Prof. Jun Wang
Dept. of Computer Science
City University of Hong Kong
Kowloon Tong, Kowloon, Hong Kong
Tel: +852 34429701
Email: jwang.cs@cityu.edu.hk