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    ESANN
    2006
    121views Neural Networks» more  ESANN 2006»
    Non-orthogonal Support Width ICA
    13 years 10 months ago
    Non-orthogonal Support Width ICA
    Download  www.dice.ucl.ac.be
    Independent Component Analysis (ICA) is a powerful tool with applications in many areas of blind signal processing; however, its key assumption, i.e. the statistical independence o...
    John Aldo Lee, Frédéric Vrins, Miche...
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    ESANN
    2006
    119views Neural Networks» more  ESANN 2006»
    Determination of the Mahalanobis matrix using nonparametric noise estimations
    13 years 10 months ago
    Determination of the Mahalanobis matrix using nonparametric noise estimations
    Download  www.dice.ucl.ac.be
    In this paper, the problem of an optimal transformation of the input space for function approximation problems is addressed. The transformation is defined determining the Mahalanob...
    Amaury Lendasse, Francesco Corona, Jin Hao, Nima R...
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    ESANN
    2006
    114views Neural Networks» more  ESANN 2006»
    Non-linear gating network for the large scale classification model CombNET-II
    13 years 10 months ago
    Non-linear gating network for the large scale classification model CombNET-II
    Download  www.dice.ucl.ac.be
    The linear gating classifier (stem network) of the large scale model CombNET-II has been always the limiting factor which restricts the number of the expert classifiers (branch net...
    Mauricio Kugler, Toshiyuki Miyatani, Susumu Kuroya...
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    ESANN
    2006
    84views Neural Networks» more  ESANN 2006»
    Spatial filters for the classification of event-related potentials
    13 years 10 months ago
    Spatial filters for the classification of event-related potentials
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    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
    179views Neural Networks» more  ESANN 2006»
    Visual nonlinear discriminant analysis for classifier design
    13 years 10 months ago
    Visual nonlinear discriminant analysis for classifier design
    Download  www.kecl.ntt.co.jp
    Abstract. We present a new method for analyzing classifiers by visualization, which we call visual nonlinear discriminant analysis. Classifiers that output posterior probabilities ...
    Tomoharu Iwata, Kazumi Saito, Naonori Ueda
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    ESANN
    2006
    126views Neural Networks» more  ESANN 2006»
    Connection strategies in neocortical networks
    13 years 10 months ago
    Connection strategies in neocortical networks
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    This study considers the impact of different connection strategies in developing neocortical networks. An adequate connectivity is a requisite for synaptogenesis and the developme...
    Andreas Herzog, Karsten Kube, Bernd Michaelis, Ana...
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    ESANN
    2006
    141views Neural Networks» more  ESANN 2006»
    FastISA: A fast fixed-point algorithm for independent subspace analysis
    13 years 10 months ago
    FastISA: A fast fixed-point algorithm for independent subspace analysis
    Download  www.dice.ucl.ac.be
    Aapo Hyvärinen, Urs Köster
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    ESANN
    2006
    262views Neural Networks» more  ESANN 2006»
    Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
    13 years 10 months ago
    Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
    Download  www.dice.ucl.ac.be
    Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
    Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
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    ESANN
    2006
    118views Neural Networks» more  ESANN 2006»
    Variants of Unsupervised Kernel Regression: General cost functions
    13 years 10 months ago
    Variants of Unsupervised Kernel Regression: General cost functions
    Download  www.dice.ucl.ac.be
    We present an extension to a recent method for learning of nonlinear manifolds, which allows to incorporate general cost functions. We focus on the -insensitive loss and visually d...
    Stefan Klanke, Helge Ritter
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    ESANN
    2006
    140views Neural Networks» more  ESANN 2006»
    Magnification control for batch neural gas
    13 years 10 months ago
    Magnification control for batch neural gas
    Download  www2.in.tu-clausthal.de
    Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
    Barbara Hammer, Alexander Hasenfuss, Thomas Villma...
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