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    ICANN
    2007
    Springer
    149views Neural Networks» more  ICANN 2007»
    Deformable Radial Basis Functions
    14 years 3 months ago
    Deformable Radial Basis Functions
    Download  www.uni-tuebingen.de
    Radial basis function networks (RBF) are efficient general function approximators. They show good generalization performance and they are easy to train. Due to theoretical consider...
    Wolfgang Hübner, Hanspeter A. Mallot
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    NIPS
    2001
    104views Information Technology» more  NIPS 2001»
    Linking Motor Learning to Function Approximation: Learning in an Unlearnable Force Field
    13 years 10 months ago
    Linking Motor Learning to Function Approximation: Learning in an Unlearnable Force Field
    Download  books.nips.cc
    Reaching movements require the brain to generate motor commands that rely on an internal model of the task's dynamics. Here we consider the errors that subjects make early in...
    O. Donchin, Reza Shadmehr
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    MCS
    2000
    Springer
    90views Pattern Recognition» more  MCS 2000»
    A Hybrid Projection Based and Radial Basis Function Architecture
    14 years 22 days ago
    A Hybrid Projection Based and Radial Basis Function Architecture
    Download  www.math.tau.ac.il
    We introduce a mechanism for constructing and training a hybrid architecture of projection based units and radial basis functions. In particular, we introduce an optimization sche...
    Shimon Cohen, Nathan Intrator
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    ICMLA
    2008
    195views Machine Learning» more  ICMLA 2008»
    Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
    13 years 10 months ago
    Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
    Download  www.grappa.univ-lille3.fr
    In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
    Sertan Girgin, Philippe Preux
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    ICANNGA
    2007
    Springer
    141views Algorithms» more  ICANNGA 2007»
    Estimates of Approximation Rates by Gaussian Radial-Basis Functions
    14 years 3 months ago
    Estimates of Approximation Rates by Gaussian Radial-Basis Functions
    Download  www.dist.unige.it
    Rates of approximation by networks with Gaussian RBFs with varying widths are investigated. For certain smooth functions, upper bounds are derived in terms of a Sobolev-equivalent ...
    Paul C. Kainen, Vera Kurková, Marcello Sang...
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