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    ESANN
    2006
    134views Neural Networks» more  ESANN 2006»
    Parallel hardware implementation of a broad class of spiking neurons using serial arithmetic
    14 years 7 days ago
    Parallel hardware implementation of a broad class of spiking neurons using serial arithmetic
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    Abstract. Current digital, directly mapped implementations of spiking neural networks use serial processing and parallel arithmetic. On a standard CPU, this might be the good choic...
    Benjamin Schrauwen, Jan M. Van Campenhout
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    ESANN
    2006
    149views Neural Networks» more  ESANN 2006»
    Lag selection for regression models using high-dimensional mutual information
    14 years 7 days ago
    Lag selection for regression models using high-dimensional mutual information
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    Mutual information may be used to select the embedding lag of a time series. However, this lag selection is usually limited to the analysis of the mutual information between a pair...
    Geoffroy Simon, Michel Verleysen
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    ESANN
    2006
    72views Neural Networks» more  ESANN 2006»
    A multiagent architecture for concurrent reinforcement learning
    14 years 7 days ago
    A multiagent architecture for concurrent reinforcement learning
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    In this paper we propose a multiagent architecture for implementing concurrent reinforcement learning, an approach where several agents, sharing the same environment, perceptions ...
    Victor Uc Cetina
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    ESANN
    2006
    91views Neural Networks» more  ESANN 2006»
    Stochastic Processes for Canonical Correlation Analysis
    14 years 7 days ago
    Stochastic Processes for Canonical Correlation Analysis
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    We consider two stochastic process methods for performing canonical correlation analysis (CCA). The first uses a Gaussian Process formulation of regression in which we use the cur...
    Colin Fyfe, Gayle Leen
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    ESANN
    2006
    157views Neural Networks» more  ESANN 2006»
    Data mining techniques for feature selection in blood cell recognition
    14 years 7 days ago
    Data mining techniques for feature selection in blood cell recognition
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    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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