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    ESANN
    2008
    188views Neural Networks» more  ESANN 2008»
    SOM based clustering with instance-level constraints
    14 years 11 months ago
    SOM based clustering with instance-level constraints
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    This paper describes a new topological map dedicated to clustering under instance-level constraints. In general, traditional clustering is used in an unsupervised manner. However,...
    Fazia Bellal, Khalid Benabdeslem, Alexandre Aussem
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    ESANN
    2008
    113views Neural Networks» more  ESANN 2008»
    Discrimination of regulatory DNA by SVM on the basis of over- and under-represented motifs
    14 years 11 months ago
    Discrimination of regulatory DNA by SVM on the basis of over- and under-represented motifs
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    In this paper we apply three pattern recognition methods (support vector machine, cluster analysis and principal component analysis) to distinguish regulatory regions from coding a...
    Rene te Boekhorst, Irina I. Abnizova, Lorenz Werni...
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    ESANN
    2008
    113views Neural Networks» more  ESANN 2008»
    Do we need experts for time series forecasting?
    14 years 11 months ago
    Do we need experts for time series forecasting?
    Download  www.dice.ucl.ac.be
    This study examines a selection of off-the-shelf forecasting and forecast combination algorithms with a focus on assessing their practical relevance by drawing conclusions for non-...
    Christiane Lemke, Bogdan Gabrys
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    ESANN
    2008
    126views Neural Networks» more  ESANN 2008»
    Improving a statistical language model by modulating the effects of context words
    14 years 11 months ago
    Improving a statistical language model by modulating the effects of context words
    Download  www.dice.ucl.ac.be
    We show how to improve a state-of-the-art neural network language model that converts the previous "context" words into feature vectors and combines these feature vectors...
    Zhang Yuecheng, Andriy Mnih, Geoffrey E. Hinton
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    ESANN
    2008
    137views Neural Networks» more  ESANN 2008»
    Classification of chestnuts with feature selection by noise resilient classifiers
    14 years 11 months ago
    Classification of chestnuts with feature selection by noise resilient classifiers
    Download  www.dice.ucl.ac.be
    In this paper we solve the problem of classifying chestnut plants according to their place of origin. We compare the results obtained by state of the art classifiers, among which,...
    Elena Roglia, Rossella Cancelliere, Rosa Meo
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