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    ESANN
    2007
    136views Neural Networks» more  ESANN 2007»
    Complexity bounds of radial basis functions and multi-objective learning
    13 years 7 months ago
    Complexity bounds of radial basis functions and multi-objective learning
    Download  www.dice.ucl.ac.be
    In the paper, the problem of multi-objective (MOBJ) learning is discussed. The problem of obtaining apparent (effective) complexity measure, which is one of the objectives, is con...
    Illya Kokshenev, Antônio de Pádua Bra...
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    ESANN
    2001
    116views Neural Networks» more  ESANN 2001»
    Learning fault-tolerance in Radial Basis Function Networks
    13 years 7 months ago
    Learning fault-tolerance in Radial Basis Function Networks
    Download  www.dice.ucl.ac.be
    This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
    Xavier Parra, Andreu Català
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    ISNN
    2005
    Springer
    133views Neural Networks» more  ISNN 2005»
    FPGA Realization of a Radial Basis Function Based Nonlinear Channel Equalizer
    13 years 11 months ago
    FPGA Realization of a Radial Basis Function Based Nonlinear Channel Equalizer
    Download  ir.lib.ncut.edu.tw
    In this paper we propose a radial basis function (RBF) neural network for nonlinear time-invariant channel equalizer. The RBF network model has a three-layer structure which is com...
    Poyueh Chen, Hungming Tsai, ChengJian Lin, ChiYung...
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    BMCBI
    2006
    72views more  BMCBI 2006»
    Selecting effective siRNA sequences by using radial basis function network and decision tree learning
    13 years 5 months ago
    Selecting effective siRNA sequences by using radial basis function network and decision tree learning
    Download  www.biomedcentral.com
    Background: Although short interfering RNA (siRNA) has been widely used for studying gene functions in mammalian cells, its gene silencing efficacy varies markedly and there are o...
    Shigeru Takasaki, Yoshihiro Kawamura, Akihiko Kona...
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    NIPS
    1989
    94views Information Technology» more  NIPS 1989»
    Algorithms for Better Representation and Faster Learning in Radial Basis Function Networks
    13 years 6 months ago
    Algorithms for Better Representation and Faster Learning in Radial Basis Function Networks
    Download  www.dice.ucl.ac.be
    Avijit Saha, James D. Keeler
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