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    ESANN
    2007
    115views Neural Networks» more  ESANN 2007»
    Learning topology of a labeled data set with the supervised generative gaussian graph
    13 years 11 months ago
    Learning topology of a labeled data set with the supervised generative gaussian graph
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    Abstract. Discovering the topology of a set of labeled data in a Euclidian space can help to design better decision systems. In this work, we propose a supervised generative model ...
    Pierre Gaillard, Michaël Aupetit, Géra...
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    ESANN
    2007
    125views Neural Networks» more  ESANN 2007»
    Replacing eligibility trace for action-value learning with function approximation
    13 years 11 months ago
    Replacing eligibility trace for action-value learning with function approximation
    Download  www.dice.ucl.ac.be
    The eligibility trace is one of the most used mechanisms to speed up reinforcement learning. Earlier reported experiments seem to indicate that replacing eligibility traces would p...
    Kary Främling
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    ESANN
    2007
    116views Neural Networks» more  ESANN 2007»
    The Intrinsic Recurrent Support Vector Machine
    13 years 11 months ago
    The Intrinsic Recurrent Support Vector Machine
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    In this work, we present a new model for a Recurrent Support Vector Machine. We call it intrinsic because the complete recurrence is directly incorporated within the considered opt...
    Daniel Schneegaß, Anton Maximilian Schä...
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    ESANN
    2007
    219views Neural Networks» more  ESANN 2007»
    Agglomerative Independent Variable Group Analysis
    13 years 11 months ago
    Agglomerative Independent Variable Group Analysis
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    Independent Variable Group Analysis (IVGA) is a method for grouping dependent variables together while keeping mutually independent or weakly dependent variables in separate group...
    Antti Honkela, Jeremias Seppä, Esa Alhoniemi
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    ESANN
    2007
    126views Neural Networks» more  ESANN 2007»
    Structured reservoir computing with spatiotemporal chaotic attractors
    13 years 11 months ago
    Structured reservoir computing with spatiotemporal chaotic attractors
    Download  www.dice.ucl.ac.be
    Abstract. We approach the themes “computing with chaos” and “reservoir computing” in a unified setting. Different neural architectures are mentioned which display chaotic...
    Carlos Lourenço
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    ESANN
    2007
    85views Neural Networks» more  ESANN 2007»
    Synchronization and acceleration: complementary mechanisms of temporal coding
    13 years 11 months ago
    Synchronization and acceleration: complementary mechanisms of temporal coding
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    Temporal coding is studied with an oscillatory network model that is a complex-valued generalization of the Cohen-Grossberg-Hopfield system. The model is considered with synchroni...
    Thomas Burwick
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    ESANN
    2007
    69views Neural Networks» more  ESANN 2007»
    Spiral Recurrent Neural Network for Online Learning
    13 years 11 months ago
    Spiral Recurrent Neural Network for Online Learning
    Download  www.dice.ucl.ac.be
    Huaien Gao, Rudolf Sollacher, Hans-Peter Kriegel
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    ESANN
    2007
    89views Neural Networks» more  ESANN 2007»
    Immediate Reward Reinforcement Learning for Projective Kernel Methods
    13 years 11 months ago
    Immediate Reward Reinforcement Learning for Projective Kernel Methods
    Download  www.dice.ucl.ac.be
    Colin Fyfe, Pei Ling Lai
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    ESANN
    2007
    113views Neural Networks» more  ESANN 2007»
    Kernel-based online machine learning and support vector reduction
    13 years 11 months ago
    Kernel-based online machine learning and support vector reduction
    Download  www.physics.ox.ac.uk
    We apply kernel-based machine learning methods to online learning situations, and look at the related requirement of reducing the complexity of the learnt classifier. Online meth...
    Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick
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    ESANN
    2007
    112views Neural Networks» more  ESANN 2007»
    Model Selection for Kernel Probit Regression
    13 years 11 months ago
    Model Selection for Kernel Probit Regression
    Download  www.dice.ucl.ac.be
    Abstract. The convex optimisation problem involved in fitting a kernel probit regression (KPR) model can be solved efficiently via an iteratively re-weighted least-squares (IRWLS)...
    Gavin C. Cawley
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