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    NIPS
    2000
    196views Information Technology» more  NIPS 2000»
    Incremental and Decremental Support Vector Machine Learning
    15 years 1 months ago
    Incremental and Decremental Support Vector Machine Learning
    Download  cbcl.mit.edu
    An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the KuhnTucker conditions on all previously se...
    Gert Cauwenberghs, Tomaso Poggio
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    96
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    ICCS
    2007
    Springer
    152views Applied Computing» more  ICCS 2007»
    Text Classification with Support Vector Machine and Back Propagation Neural Network
    15 years 6 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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    104
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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
    15 years 6 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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    82
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    CEC
    2007
    IEEE
    144views Artificial Intelligence» more  CEC 2007»
    Support vector machines for computing action mappings in learning classifier systems
    15 years 4 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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    93
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    AAAI
    2008
    154views Intelligent Agents» more  AAAI 2008»
    In-the-Dark Network Traffic Classification Using Support Vector Machines
    15 years 2 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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