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    ESANN
    2008
    96views Neural Networks» more  ESANN 2008»
    Model-Based Reinforcement Learning with Continuous States and Actions
    13 years 6 months ago
    Model-Based Reinforcement Learning with Continuous States and Actions
    Download  mlg.eng.cam.ac.uk
    Marc Peter Deisenroth, Carl Edward Rasmussen, Jan ...
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    ESANN
    2008
    278views Neural Networks» more  ESANN 2008»
    Learning to play Tetris applying reinforcement learning methods
    13 years 6 months ago
    Learning to play Tetris applying reinforcement learning methods
    Download  www.dice.ucl.ac.be
    In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
    Alexander Groß, Jan Friedland, Friedhelm Sch...
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    ESANN
    2008
    124views Neural Networks» more  ESANN 2008»
    Explaining Ant-Based Clustering on the basis of Self-Organizing Maps
    13 years 6 months ago
    Explaining Ant-Based Clustering on the basis of Self-Organizing Maps
    Download  www.dice.ucl.ac.be
    Ant-based clustering is a nature-inspired technique whereas stochastic agents perform the task of clustering high-dimensional data. This paper analyzes the popular technique of Lum...
    Lutz Herrmann, Alfred Ultsch
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    ESANN
    2008
    100views Neural Networks» more  ESANN 2008»
    Emergence of stimulus-specific synchronous response through STDP in recurrent neural networks
    13 years 6 months ago
    Emergence of stimulus-specific synchronous response through STDP in recurrent neural networks
    Download  neryel.nerim.net
    Frédéric Henry, Emmanuel Daucé...
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    ESANN
    2008
    153views Neural Networks» more  ESANN 2008»
    An automatic identifier of Confinement Regimes at JET combining Fuzzy Logic and Classification Trees
    13 years 6 months ago
    An automatic identifier of Confinement Regimes at JET combining Fuzzy Logic and Classification Trees
    Download  www.dice.ucl.ac.be
    In modern thermonuclear fusion devices it is possible to distinguish distinct types of plasma confinement regimes which have different performance in terms of confinement time. Dis...
    Guido Vagliasindi, Paolo Arena, Luigi Fortuna, And...
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    ESANN
    2008
    164views Neural Networks» more  ESANN 2008»
    Multilayer Perceptrons with Radial Basis Functions as Value Functions in Reinforcement Learning
    13 years 6 months ago
    Multilayer Perceptrons with Radial Basis Functions as Value Functions in Reinforcement Learning
    Download  www.dice.ucl.ac.be
    Using multilayer perceptrons (MLPs) to approximate the state-action value function in reinforcement learning (RL) algorithms could become a nightmare due to the constant possibilit...
    Victor Uc Cetina
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    ESANN
    2008
    115views Neural Networks» more  ESANN 2008»
    Survival SVM: a practical scalable algorithm
    13 years 6 months ago
    Survival SVM: a practical scalable algorithm
    Download  www.dice.ucl.ac.be
    This work advances the Support Vector Machine (SVM) based approach for predictive modelling of failure time data as proposed in [1]. The main results concern a drastic reduction in...
    Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
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    ESANN
    2008
    118views Neural Networks» more  ESANN 2008»
    Using the Delta Test for Variable Selection
    13 years 6 months ago
    Using the Delta Test for Variable Selection
    Download  www.dice.ucl.ac.be
    Input selection is an important consideration in all large-scale modelling problems. We propose that using an established noise variance estimator known as the Delta test as the ta...
    Emil Eirola, Elia Liitiäinen, Amaury Lendasse...
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    ESANN
    2008
    158views Neural Networks» more  ESANN 2008»
    Learning Data Representations with Sparse Coding Neural Gas
    13 years 6 months ago
    Learning Data Representations with Sparse Coding Neural Gas
    Download  www.dice.ucl.ac.be
    Abstract. We consider the problem of learning an unknown (overcomplete) basis from an unknown sparse linear combination. Introducing the "sparse coding neural gas" algori...
    Kai Labusch, Erhardt Barth, Thomas Martinetz
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    ESANN
    2008
    149views Neural Networks» more  ESANN 2008»
    A method for robust variable selection with significance assessment
    13 years 6 months ago
    A method for robust variable selection with significance assessment
    Download  web.mit.edu
    Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
    Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...
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