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    ESANN
    2008
    127views Neural Networks» more  ESANN 2008»
    Using graph-theoretic measures to predict the performance of associative memory models
    14 years 11 months ago
    Using graph-theoretic measures to predict the performance of associative memory models
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    We test a selection of associative memory models built with different connection strategies, exploring the relationship between the structural properties of each network and its pa...
    Lee Calcraft, Rod Adams, Weiliang Chen, Neil Davey
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    ESANN
    2008
    111views Neural Networks» more  ESANN 2008»
    Metric adaptation for supervised attribute rating
    14 years 11 months ago
    Metric adaptation for supervised attribute rating
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    A new approach for faithful relevance rating of attributes is proposed, enabling class-specific discriminatory data space transformations. The method is based on the adaptation of ...
    Marc Strickert, Frank-Michael Schleif, Thomas Vill...
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    ESANN
    2008
    136views Neural Networks» more  ESANN 2008»
    Generalized matrix learning vector quantizer for the analysis of spectral data
    14 years 11 months ago
    Generalized matrix learning vector quantizer for the analysis of spectral data
    Download  www.dice.ucl.ac.be
    The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
    Petra Schneider, Frank-Michael Schleif, Thomas Vil...
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    ESANN
    2008
    131views Neural Networks» more  ESANN 2008»
    Parallelizing single patch pass clustering
    14 years 11 months ago
    Parallelizing single patch pass clustering
    Download  www.dice.ucl.ac.be
    Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming l...
    Nikolai Alex, Barbara Hammer
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    ESANN
    2008
    127views Neural Networks» more  ESANN 2008»
    Neural networks for computational neuroscience
    14 years 11 months ago
    Neural networks for computational neuroscience
    Download  www.dice.ucl.ac.be
    Computational neuroscience is an appealing interdisciplinary domain, at the interface between biology and computer science. It aims at understanding the experimental data obtained...
    David Meunier, Hélène Paugam-Moisy
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