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    ESANN
    2008
    111views Neural Networks» more  ESANN 2008»
    Self-Organizing Maps for cyclic and unbounded graphs
    14 years 11 months ago
    Self-Organizing Maps for cyclic and unbounded graphs
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    Abstract. This paper introduces a new concept to the processing of graph structured information using self organising map framework. Previous approaches to this problem were limite...
    Markus Hagenbuchner, Alessandro Sperduti, Ah Chung...
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    ESANN
    2008
    139views Neural Networks» more  ESANN 2008»
    Multi-class classification of ovarian tumors
    14 years 11 months ago
    Multi-class classification of ovarian tumors
    Download  www.dice.ucl.ac.be
    In this work, we developed classifiers to distinguish between four ovarian tumor types using Bayesian least squares support vector machines (LS-SVMs) and kernel logistic regression...
    Ben Van Calster, Dirk Timmerman, Antonia C. Testa,...
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    ESANN
    2008
    110views Neural Networks» more  ESANN 2008»
    Direct and inverse solution for a stimulus adaptation problem using SVR
    14 years 11 months ago
    Direct and inverse solution for a stimulus adaptation problem using SVR
    Download  www.dice.ucl.ac.be
    Adapting stimuli to stabilize neural responses is an important problem in the context of cortical prostheses. This paper describes two approaches for stimulus adaptation using supp...
    Dominik Brugger, Sergejus Butovas, Martin Bogdan, ...
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    ESANN
    2008
    174views Neural Networks» more  ESANN 2008»
    A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis
    14 years 11 months ago
    A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis
    Download  www.dice.ucl.ac.be
    The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
    Bertha Guijarro-Berdiñas, Oscar Fontenla-Ro...
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    ESANN
    2008
    188views Neural Networks» more  ESANN 2008»
    An emphasized target smoothing procedure to improve MLP classifiers performance
    14 years 11 months ago
    An emphasized target smoothing procedure to improve MLP classifiers performance
    Download  www.dice.ucl.ac.be
    Standard learning procedures are better fitted to estimation than to classification problems, and focusing the training on appropriate samples provides performance advantages in cl...
    Soufiane El Jelali, Abdelouahid Lyhyaoui, An&iacut...
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