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    ESANN
    2007
    129views Neural Networks» more  ESANN 2007»
    Controlling complexity of RBF networks by similarity
    13 years 6 months ago
    Controlling complexity of RBF networks by similarity
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    Abstract. Using radial basis function networks for function approximation tasks suffers from unavailable knowledge about an adequate network size. In this work, a measuring techni...
    Ulrich Rückert, Ralf Eickhoff
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    ESANN
    2007
    170views Neural Networks» more  ESANN 2007»
    Feature clustering and mutual information for the selection of variables in spectral data
    13 years 6 months ago
    Feature clustering and mutual information for the selection of variables in spectral data
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    Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...
    Catherine Krier, Damien François, Fabrice R...
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    ESANN
    2007
    100views Neural Networks» more  ESANN 2007»
    Collaborative Filtering with interlaced Generalized Linear Models
    13 years 6 months ago
    Collaborative Filtering with interlaced Generalized Linear Models
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    Collaborative Filtering (CF) aims at finding patterns in a sparse matrix of contingency. It can be used for example to mine the ratings given by users on a set of items. In this p...
    Nicolas Delannay, Michel Verleysen
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    ESANN
    2007
    102views Neural Networks» more  ESANN 2007»
    ICA-based High Frequency VaR for Risk Management
    13 years 6 months ago
    ICA-based High Frequency VaR for Risk Management
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    Patrick Kouontchou, Bertrand Maillet
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    ESANN
    2007
    130views Neural Networks» more  ESANN 2007»
    Three-dimensional self-organizing dynamical systems for discrete structures memorizing and retrieval
    13 years 6 months ago
    Three-dimensional self-organizing dynamical systems for discrete structures memorizing and retrieval
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    The synthesis concept for dynamical system with the memory of multiple states defined with the quaternion algebra usage is considered. The system memorizes numerous configurations ...
    Alexander Yudashkin
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    ESANN
    2007
    106views Neural Networks» more  ESANN 2007»
    Order in Complex Systems of Nonlinear Oscillators: Phase Locked Subspaces
    13 years 6 months ago
    Order in Complex Systems of Nonlinear Oscillators: Phase Locked Subspaces
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    Any order parameter quantifying the degree of organisation in a physical system can be studied in connection to source extraction algorithms. Independent component analysis (ICA) b...
    Jan-Hendrik Schleimer, Ricardo Vigário
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    ESANN
    2007
    147views Neural Networks» more  ESANN 2007»
    Intrinsic plasticity for reservoir learning algorithms
    13 years 6 months ago
    Intrinsic plasticity for reservoir learning algorithms
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    One of the most difficult problems in using dynamic reservoirs like echo state networks for signal processing is the choice of reservoir network parameters like connectivity or spe...
    Marion Wardermann, Jochen J. Steil
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    ESANN
    2007
    133views Neural Networks» more  ESANN 2007»
    Model collisions in the dissimilarity SOM
    13 years 6 months ago
    Model collisions in the dissimilarity SOM
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    We investigate in this paper the problem of model collisions in the Dissimilarity Self Organizing Map (SOM). This extension of the SOM to dissimilarity data suffers from constrain...
    Fabrice Rossi
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    ESANN
    2007
    148views Neural Networks» more  ESANN 2007»
    Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning
    13 years 6 months ago
    Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning
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    In this paper, we investigate motor primitive learning with the Natural Actor-Critic approach. The Natural Actor-Critic consists out of actor updates which are achieved using natur...
    Jan Peters, Stefan Schaal
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    ESANN
    2007
    123views Neural Networks» more  ESANN 2007»
    Causality and communities in neural networks
    13 years 6 months ago
    Causality and communities in neural networks
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    A recently proposed nonlinear extension of Granger causality is used to map the dynamics of a neural population onto a graph, whose community structure characterizes the collective...
    Leonardo Angelini, Daniele Marinazzo, Mario Pellic...
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