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    ESANN
    2006
    108views Neural Networks» more  ESANN 2006»
    Immune Network based Ensembles
    14 years 28 days ago
    Immune Network based Ensembles
    Download  cib.uco.es
    This paper presents a new method for constructing ensembles of classifiers based on immune network theory, one of the most interesting paradigms within the field of artificial imm...
    Nicolás García-Pedrajas, Colin Fyfe
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    ESANN
    2006
    114views Neural Networks» more  ESANN 2006»
    Reducing policy degradation in neuro-dynamic programming
    14 years 28 days ago
    Reducing policy degradation in neuro-dynamic programming
    Download  ml.informatik.uni-freiburg.de
    We focus on neuro-dynamic programming methods to learn state-action value functions and outline some of the inherent problems to be faced, when performing reinforcement learning in...
    Thomas Gabel, Martin Riedmiller
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    ESANN
    2006
    91views Neural Networks» more  ESANN 2006»
    Stochastic Processes for Canonical Correlation Analysis
    14 years 28 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
    88views Neural Networks» more  ESANN 2006»
    Robust Local Cluster Neural Networks
    14 years 28 days ago
    Robust Local Cluster Neural Networks
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    Abstract. Artificial neural networks are intended to be used in future nanoelectronics since their biological examples seem to be robust to noise. In this paper, we analyze the rob...
    Ralf Eickhoff, Joaquin Sitte, Ulrich Rückert
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    ESANN
    2006
    95views Neural Networks» more  ESANN 2006»
    The permutation test for feature selection by mutual information
    14 years 28 days ago
    The permutation test for feature selection by mutual information
    Download  www.dice.ucl.ac.be
    Damien François, Vincent Wertz, Michel Verl...
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    ESANN
    2006
    99views Neural Networks» more  ESANN 2006»
    Nonlinear transient computation and variable noise tolerance
    14 years 28 days ago
    Nonlinear transient computation and variable noise tolerance
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    A novel nonlinear transient computation device is presented which is designed to perform computations on multiple spike-train input signals. The input signals perturb the internal ...
    Nigel Crook
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    ESANN
    2006
    116views Neural Networks» more  ESANN 2006»
    Saliency extraction with a distributed spiking neural network
    14 years 28 days ago
    Saliency extraction with a distributed spiking neural network
    Download  www.dice.ucl.ac.be
    We present a distributed spiking neuron network (SNN) for handling low-level visual perception in order to extract salient locations in robot camera images. We describe a new metho...
    Sylvain Chevallier, Philippe Tarroux, Hél&e...
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    ESANN
    2006
    135views Neural Networks» more  ESANN 2006»
    Diversity creation in local search for the evolution of neural network ensembles
    14 years 28 days ago
    Diversity creation in local search for the evolution of neural network ensembles
    Download  www.dice.ucl.ac.be
    Abstract. The EENCL algorithm [1] automatically designs neural network ensembles for classification, combining global evolution with local search based on gradient descent. Two mec...
    Pete Duell, Iris Fermin, Xin Yao
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    ESANN
    2006
    90views Neural Networks» more  ESANN 2006»
    Learning what is important: feature selection and rule extraction in a virtual course
    14 years 28 days ago
    Learning what is important: feature selection and rule extraction in a virtual course
    Download  www.dice.ucl.ac.be
    Terence A. Etchells, Àngela Nebot, Alfredo ...
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    ESANN
    2006
    72views Neural Networks» more  ESANN 2006»
    A multiagent architecture for concurrent reinforcement learning
    14 years 28 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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