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    ESANN
    2006
    124views Neural Networks» more  ESANN 2006»
    Weighted differential topographic function: a refinement of topographic function
    13 years 6 months ago
    Weighted differential topographic function: a refinement of topographic function
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    Topology preservation of Self-Organizing Maps (SOMs) is an advantageous property for correct clustering. Among several existing measures of topology violation, this paper studies t...
    Lili Zhang, Erzsébet Merényi
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    ESANN
    2006
    120views Neural Networks» more  ESANN 2006»
    Optimal design of hierarchical wavelet networks for time-series forecasting
    13 years 6 months 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
    103views Neural Networks» more  ESANN 2006»
    Entropy-based principle and generalized contingency tables
    13 years 6 months ago
    Entropy-based principle and generalized contingency tables
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    Vincent Vigneron
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    ESANN
    2006
    187views Neural Networks» more  ESANN 2006»
    Visualizing gene interaction graphs with local multidimensional scaling
    13 years 6 months ago
    Visualizing gene interaction graphs with local multidimensional scaling
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    Several bioinformatics data sets are naturally represented as graphs, for instance gene regulation, metabolic pathways, and proteinprotein interactions. The graphs are often large ...
    Jarkko Venna, Samuel Kaski
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    ESANN
    2006
    149views Neural Networks» more  ESANN 2006»
    Lag selection for regression models using high-dimensional mutual information
    13 years 6 months 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
    137views Neural Networks» more  ESANN 2006»
    Neural networks and machine learning in bioinformatics - theory and applications
    13 years 6 months 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
    134views Neural Networks» more  ESANN 2006»
    Parallel hardware implementation of a broad class of spiking neurons using serial arithmetic
    13 years 6 months ago
    Parallel hardware implementation of a broad class of spiking neurons using serial arithmetic
    Download  www.dice.ucl.ac.be
    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
    123views Neural Networks» more  ESANN 2006»
    Linking non-binned spike train kernels to several existing spike train metrics
    13 years 6 months ago
    Linking non-binned spike train kernels to several existing spike train metrics
    Download  www.dice.ucl.ac.be
    This work presents two kernels which can be applied to sets of spike times. This allows the use of state-of-the-art classification techniques to spike trains. The presented kernels...
    Benjamin Schrauwen, Jan M. Van Campenhout
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    ESANN
    2006
    161views Neural Networks» more  ESANN 2006»
    OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method
    13 years 6 months ago
    OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method
    Download  www.dice.ucl.ac.be
    Abstract. We present the OnlineDoubleMaxMinOver approach to obtain the Support Vectors in two class classification problems. With its linear time complexity and linear convergence ...
    Daniel Schneegaß, Thomas Martinetz, Michael ...
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    ESANN
    2006
    144views Neural Networks» more  ESANN 2006»
    Evolino for recurrent support vector machines
    13 years 6 months ago
    Evolino for recurrent support vector machines
    Download  www.dice.ucl.ac.be
    Abstract. We introduce a new class of recurrent, truly sequential SVM-like devices with internal adaptive states, trained by a novel method called EVOlution of systems with KErnel-...
    Jürgen Schmidhuber, Matteo Gagliolo, Daan Wie...
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