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    CJ
    2006
    111views more  CJ 2006»
    Relational Formalism for the Management of Spatial Data
    13 years 7 months ago
    Relational Formalism for the Management of Spatial Data
    Download  lbd.udc.es
    Operations on spatial objects have much individuality. As a consequence, the spatial data modelling approaches, which have been proposed, have to consider either data types of the...
    Nikos A. Lorentzos, Jose Ramon Rios Viqueira
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    TNN
    1998
    111views more  TNN 1998»
    Asymptotic distributions associated to Oja's learning equation for neural networks
    13 years 7 months ago
    Asymptotic distributions associated to Oja's learning equation for neural networks
    Download  www-public.int-evry.fr
    — In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
    Jean Pierre Delmas, Jean-Francois Cardos
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    TOSEM
    2002
    153views more  TOSEM 2002»
    Automated abstraction of class diagrams
    13 years 7 months ago
    Automated abstraction of class diagrams
    Download  www.alexander-egyed.com
    d Abstraction of Class Diagrams ALEXANDER EGYED Teknowledge Corporation Designers can easily become overwhelmed with details when dealing with large class diagrams. icle presents a...
    Alexander Egyed
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    TSMC
    2002
    80views more  TSMC 2002»
    A feedforward neural network controlling the movement of a 3-DOF finger
    13 years 7 months ago
    A feedforward neural network controlling the movement of a 3-DOF finger
    Download  www.smpp.northwestern.edu
    This paper describes the dynamic control of a 3 degree of freedom (DOF) finger emulating a human finger for reaching a desired fingertip position in space. The control consists of ...
    Emanuele Lindo Secco, Giovanni Magenes
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    ICML
    2007
    IEEE
    179views Machine Learning» more  ICML 2007»
    Bottom-up learning of Markov logic network structure
    14 years 8 months ago
    Bottom-up learning of Markov logic network structure
    Download  www.machinelearning.org
    Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
    Lilyana Mihalkova, Raymond J. Mooney
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