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    ESANN
    2007
    125views Neural Networks» more  ESANN 2007»
    Replacing eligibility trace for action-value learning with function approximation
    13 years 9 months ago
    Replacing eligibility trace for action-value learning with function approximation
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    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
    85views Neural Networks» more  ESANN 2007»
    Synchronization and acceleration: complementary mechanisms of temporal coding
    13 years 9 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
    100views Neural Networks» more  ESANN 2007»
    Collaborative Filtering with interlaced Generalized Linear Models
    13 years 9 months ago
    Collaborative Filtering with interlaced Generalized Linear Models
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    Collaborative Filtering (CF) aims at finding patterns in a sparse matrix of contingency. It can be used for example to mine the ratings given by users on a set of items. In this p...
    Nicolas Delannay, Michel Verleysen
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    ESANN
    2007
    144views Neural Networks» more  ESANN 2007»
    One-class SVM regularization path and comparison with alpha seeding
    13 years 9 months ago
    One-class SVM regularization path and comparison with alpha seeding
    Download  asi.insa-rouen.fr
    One-class support vector machines (1-SVMs) estimate the level set of the underlying density observed data. Aside the kernel selection issue, one difficulty concerns the choice of t...
    Alain Rakotomamonjy, Manuel Davy
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    ESANN
    2007
    128views Neural Networks» more  ESANN 2007»
    A supervised learning approach based on STDP and polychronization in spiking neuron networks
    13 years 9 months ago
    A supervised learning approach based on STDP and polychronization in spiking neuron networks
    Download  www.dice.ucl.ac.be
    We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biol...
    Hélène Paugam-Moisy, Régis Ma...
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