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    ICCS
    2007
    Springer
    152views Applied Computing» more  ICCS 2007»
    Text Classification with Support Vector Machine and Back Propagation Neural Network
    14 years 1 months ago
    Text Classification with Support Vector Machine and Back Propagation Neural Network
    Download  meta-synthesis.iss.ac.cn
    Abstract. We compared a support vector machine (SVM) with a back propagation neural network (BPNN) for the task of text classification of XiangShan science conference (XSSC) web do...
    Wen Zhang, Xijin Tang, Taketoshi Yoshida
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    ISNN
    2005
    Springer
    132views Neural Networks» more  ISNN 2005»
    Scaling the Kernel Function to Improve Performance of the Support Vector Machine
    14 years 1 months ago
    Scaling the Kernel Function to Improve Performance of the Support Vector Machine
    Download  www.dcs.warwick.ac.uk
    Abstract. The present study investigates a geometrical method for optimizing the kernel function of a support vector machine. The method is an improvement of the one proposed in [4...
    Peter Williams, Sheng Li, Jianfeng Feng, Si Wu
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    IJCNN
    2000
    IEEE
    124views Neural Networks» more  IJCNN 2000»
    Support Vector Machine for Regression and Applications to Financial Forecasting
    14 years 5 days ago
    Support Vector Machine for Regression and Applications to Financial Forecasting
    Download  www.svms.org
    The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...
    Theodore B. Trafalis, Huseyin Ince
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    CEC
    2007
    IEEE
    144views Artificial Intelligence» more  CEC 2007»
    Support vector machines for computing action mappings in learning classifier systems
    13 years 11 months ago
    Support vector machines for computing action mappings in learning classifier systems
    Download  www.cs.york.ac.uk
    XCS with Computed Action, briefly XCSCA, is a recent extension of XCS to tackle problems involving a large number of discrete actions. In XCSCA the classifier action is computed wi...
    Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi
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    AAAI
    2008
    154views Intelligent Agents» more  AAAI 2008»
    In-the-Dark Network Traffic Classification Using Support Vector Machines
    13 years 10 months ago
    In-the-Dark Network Traffic Classification Using Support Vector Machines
    Download  www.cs.wfu.edu
    This work addresses the problem of in-the-dark traffic classification for TCP sessions, an important problem in network management. An innovative use of support vector machines (S...
    William H. Turkett Jr., Andrew V. Karode, Errin W....
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