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    ESANN
    2006
    96views Neural Networks» more  ESANN 2006»
    Selection of more than one gene at a time for cancer prediction from gene expression data
    13 years 11 months ago
    Selection of more than one gene at a time for cancer prediction from gene expression data
    Download  www.dice.ucl.ac.be
    A new gene selection method capable of selecting more than one gene at a time is introduced. This characteristic contrasts it with almost all known methods assuming that there are ...
    Oleg Okun, Nikolay G. Zagoruiko, Alexessander Alve...
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    ESANN
    2006
    107views Neural Networks» more  ESANN 2006»
    Time series prediction using DirRec strategy
    13 years 11 months ago
    Time series prediction using DirRec strategy
    Download  eprints.pascal-network.org
    This paper demonstrates how the selection of Prediction Strategy is important in the Long-Term Prediction of Time Series. Two strategies are already used in the prediction purposes...
    Antti Sorjamaa, Amaury Lendasse
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    ESANN
    2006
    117views Neural Networks» more  ESANN 2006»
    Extended model of conditioned learning within latent inhibition
    13 years 11 months ago
    Extended model of conditioned learning within latent inhibition
    Download  www.dice.ucl.ac.be
    Due to the various and dynamic nature of stimuli, decisions of intelligent agents must rely on the coordination of complex cognitive systems. This paper precisely focusses on a gen...
    Nicolas Gomond, Jean Marc Salotti
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    ESANN
    2006
    116views Neural Networks» more  ESANN 2006»
    Visual Data Mining and Machine Learning
    13 years 11 months ago
    Visual Data Mining and Machine Learning
    Download  apiacoa.org
    Information visualization and visual data mining leverage the human visual system to provide insight and understanding of unorganized data. In order to scale to massive sets of hig...
    Fabrice Rossi
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    ESANN
    2006
    236views Neural Networks» more  ESANN 2006»
    Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
    13 years 11 months ago
    Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
    Download  www.dice.ucl.ac.be
    Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
    Aloísio Carlos de Pina, Gerson Zaverucha
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