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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
    14 years 8 days 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
    120views Neural Networks» more  ESANN 2006»
    Optimal design of hierarchical wavelet networks for time-series forecasting
    14 years 8 days ago
    Optimal design of hierarchical wavelet networks for time-series forecasting
    Download  www.softcomputing.net
    The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
    Yuehui Chen, Bo Yang, Ajith Abraham
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    ESANN
    2006
    84views Neural Networks» more  ESANN 2006»
    Spatial filters for the classification of event-related potentials
    14 years 8 days ago
    Spatial filters for the classification of event-related potentials
    Download  www.dice.ucl.ac.be
    Spatial filtering is a widely used dimension reduction method in electroencephalogram based brain-computer interface systems. In this paper a new algorithm is proposed, which learn...
    Ulrich Hoffmann, Jean-Marc Vesin, Touradj Ebrahimi
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    ESANN
    2006
    137views Neural Networks» more  ESANN 2006»
    Neural networks and machine learning in bioinformatics - theory and applications
    14 years 8 days ago
    Neural networks and machine learning in bioinformatics - theory and applications
    Download  www.dice.ucl.ac.be
    Bioinformatics is a promising and innovative research field. Despite of a high number of techniques specifically dedicated to bioinformatics problems as well as many successful app...
    Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas...
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    ESANN
    2006
    148views Neural Networks» more  ESANN 2006»
    Using distributed genetic programming to evolve classifiers for a brain computer interface
    14 years 8 days ago
    Using distributed genetic programming to evolve classifiers for a brain computer interface
    Download  www.dice.ucl.ac.be
    The objective of this paper is to illustrate the application of genetic programming to evolve classifiers for multi-channel time series data. The paper shows how high performance d...
    Eva Alfaro-Cid, Anna Esparcia-Alcázar, Ken ...
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