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    ESANN
    2006
    141views Neural Networks» more  ESANN 2006»
    FastISA: A fast fixed-point algorithm for independent subspace analysis
    14 years 3 months ago
    FastISA: A fast fixed-point algorithm for independent subspace analysis
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    Aapo Hyvärinen, Urs Köster
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    ESANN
    2006
    262views Neural Networks» more  ESANN 2006»
    Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
    14 years 3 months ago
    Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
    Download  www.dice.ucl.ac.be
    Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
    Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
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    ESANN
    2006
    118views Neural Networks» more  ESANN 2006»
    Variants of Unsupervised Kernel Regression: General cost functions
    14 years 3 months ago
    Variants of Unsupervised Kernel Regression: General cost functions
    Download  www.dice.ucl.ac.be
    We present an extension to a recent method for learning of nonlinear manifolds, which allows to incorporate general cost functions. We focus on the -insensitive loss and visually d...
    Stefan Klanke, Helge Ritter
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    ESANN
    2006
    140views Neural Networks» more  ESANN 2006»
    Magnification control for batch neural gas
    14 years 3 months ago
    Magnification control for batch neural gas
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    Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
    Barbara Hammer, Alexander Hasenfuss, Thomas Villma...
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    ESANN
    2006
    202views Neural Networks» more  ESANN 2006»
    LS-SVM functional network for time series prediction
    14 years 3 months ago
    LS-SVM functional network for time series prediction
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    Usually time series prediction is done with regularly sampled data. In practice, however, the data available may be irregularly sampled. In this case the conventional prediction me...
    Tuomas Kärnä, Fabrice Rossi, Amaury Lend...
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    ESANN
    2006
    121views Neural Networks» more  ESANN 2006»
    Independent dynamics subspace analysis
    14 years 3 months ago
    Independent dynamics subspace analysis
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    Abstract. The paper presents an algorithm for identifying the independent subspace analysis model based on source dynamics. We propose to separate subspaces by decoupling their dyn...
    Alexander Ilin
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    ESANN
    2006
    117views Neural Networks» more  ESANN 2006»
    Extended model of conditioned learning within latent inhibition
    14 years 3 months ago
    Extended model of conditioned learning within latent inhibition
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    Due to the various and dynamic nature of stimuli, decisions of intelligent agents must rely on the coordination of complex cognitive systems. This paper precisely focusses on a gen...
    Nicolas Gomond, Jean Marc Salotti
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    ESANN
    2006
    130views Neural Networks» more  ESANN 2006»
    Classification by means of Evolutionary Response Surfaces
    14 years 3 months ago
    Classification by means of Evolutionary Response Surfaces
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    Abstract. Response surfaces are a powerful tool for both classification and regression as they are able to model many different phenomena and construct complex boundaries between c...
    Rafael del Castillo Gomariz, Nicolás Garc&i...
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    ESANN
    2006
    108views Neural Networks» more  ESANN 2006»
    Degeneracy in model selection for SVMs with radial Gaussian kernel
    14 years 3 months ago
    Degeneracy in model selection for SVMs with radial Gaussian kernel
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    We consider the model selection problem for support vector machines applied to binary classification. As the data generating process is unknown, we have to rely on heuristics as mo...
    Tobias Glasmachers
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    ESANN
    2006
    110views Neural Networks» more  ESANN 2006»
    Designing neural network committees by combining boosting ensembles
    14 years 3 months ago
    Designing neural network committees by combining boosting ensembles
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    The use of modified Real Adaboost ensembles by applying weighted emphasis on erroneous and critical (near the classification boundary) has been shown to lead to improved designs, ...
    Vanessa Gómez-Verdejo, Aníbal R. Fig...
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