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    ESANN
    2006
    119views Neural Networks» more  ESANN 2006»
    EM-algorithm for training of state-space models with application to time series prediction
    13 years 9 months ago
    EM-algorithm for training of state-space models with application to time series prediction
    Download  eprints.pascal-network.org
    In this paper, an improvement to the E step of the EM algorithm for nonlinear state-space models is presented. We also propose strategies for model structure selection when the EM-...
    Elia Liitiäinen, Nima Reyhani, Amaury Lendass...
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    ESANN
    2006
    157views Neural Networks» more  ESANN 2006»
    Data mining techniques for feature selection in blood cell recognition
    13 years 9 months ago
    Data mining techniques for feature selection in blood cell recognition
    Download  www.dice.ucl.ac.be
    The paper presents and compares the data mining techniques for selection of the diagnostic features in the problem of blood cell recognition in leukemia. Different techniques are c...
    Tomasz Markiewicz, Stanislaw Osowski
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    ESANN
    2006
    105views Neural Networks» more  ESANN 2006»
    A simple idea to separate convolutive mixtures in an undetermined scenario
    13 years 9 months ago
    A simple idea to separate convolutive mixtures in an undetermined scenario
    Download  www.ensieta.fr
    We consider a blind separation problem for undetermined mixtures of two BPSK signals in a multi-path fading channel. We use independence and frequency diversity of the two source s...
    Maciej Pedzisz, Ali Mansour
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    ESANN
    2006
    170views Neural Networks» more  ESANN 2006»
    Discriminacy of the minimum range approach to blind separation of bounded sources
    13 years 9 months ago
    Discriminacy of the minimum range approach to blind separation of bounded sources
    Download  ljk.imag.fr
    The Blind Source Separation (BSS) problem is often solved by maximizing objective functions reflecting the statistical dependency between outputs. Since global maximization may be ...
    Dinh-Tuan Pham, Frédéric Vrins
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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 9 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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