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    ESANN
    2003
    145views Neural Networks» more  ESANN 2003»
    Neural assembly binding in linguistic representation
    13 years 11 months ago
    Neural assembly binding in linguistic representation
    Download  www.dice.ucl.ac.be
    We present a neural architecture of sentence representation. Words are represented with neural cell assemblies. Relations between words are represented with ‘structure’ assembl...
    Frank van der Velde, Marc de Kamps
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    ESANN
    2003
    132views Neural Networks» more  ESANN 2003»
    Extraction of fuzzy rules from trained neural network using evolutionary algorithm
    13 years 11 months ago
    Extraction of fuzzy rules from trained neural network using evolutionary algorithm
    Download  www.dice.ucl.ac.be
    This paper presents our approach to the rule extraction problem from trained neural network. A method called REX is briefly described. REX acquires a set of fuzzy rules using an ev...
    Urszula Markowska-Kaczmar, Wojciech Trelak
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    ESANN
    2003
    120views Neural Networks» more  ESANN 2003»
    Modeling of growing networks with directional attachment and communities
    13 years 11 months ago
    Modeling of growing networks with directional attachment and communities
    Download  www.kecl.ntt.co.jp
    In this paper, we propose a new network growth model and its learning algorithm to more precisely model such a real-world growing network as the Web. Unlike the conventional model...
    Masahiro Kimura, Kazumi Saito, Naonori Ueda
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    ESANN
    2003
    184views Neural Networks» more  ESANN 2003»
    Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
    13 years 11 months ago
    Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
    Download  www.dice.ucl.ac.be
    In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
    Jianyu Li, Siwei Luo, Yingjian Qi
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    ESANN
    2003
    82views Neural Networks» more  ESANN 2003»
    High-dimensional labeled data analysis with Gabriel graphs
    13 years 11 months ago
    High-dimensional labeled data analysis with Gabriel graphs
    Download  www.dice.ucl.ac.be
    We propose the use of the Gabriel graph for the exploratory analysis of potentially high dimensional labeled data. Gabriel graph is a subgraph of the Delaunay triangulation, which ...
    Michaël Aupetit
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