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    ESANN
    2004
    83views Neural Networks» more  ESANN 2004»
    Shear strength prediction using dimensional analysis and functional networks
    14 years 11 months ago
    Shear strength prediction using dimensional analysis and functional networks
    Download  www.dice.ucl.ac.be
    This paper presents a three steps methodology for predicting the failure shear effort in concrete beams. In the first step, dimensional analysis is applied to obtain several sets o...
    Amparo Alonso-Betanzos, Enrique Castillo, Oscar Fo...
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    ESANN
    2004
    87views Neural Networks» more  ESANN 2004»
    A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm
    14 years 11 months ago
    A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm
    Download  www.dice.ucl.ac.be
    In this paper we propose an Rprop modification that builds on a mathematical framework for the convergence analysis to equip Rprop with a learning rates adaptation strategy that en...
    Aristoklis D. Anastasiadis, George D. Magoulas, Mi...
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    ESANN
    2004
    112views Neural Networks» more  ESANN 2004»
    Clustering functional data with the SOM algorithm
    14 years 11 months ago
    Clustering functional data with the SOM algorithm
    Download  apiacoa.org
    Abstract. In many situations, high dimensional data can be considered as sampled functions. We show in this paper how to implement a Self-Organizing Map (SOM) on such data by appro...
    Fabrice Rossi, Brieuc Conan-Guez, Aïcha El Go...
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    ESANN
    2004
    86views Neural Networks» more  ESANN 2004»
    Regularizing generalization error estimators: a novel approach to robust model selection
    14 years 11 months ago
    Regularizing generalization error estimators: a novel approach to robust model selection
    Download  www.dice.ucl.ac.be
    Abstract. A well-known result by Stein shows that regularized estimators with small bias often yield better estimates than unbiased estimators. In this paper, we adapt this spirit ...
    Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert M...
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    ESANN
    2004
    90views Neural Networks» more  ESANN 2004»
    High-accuracy value-function approximation with neural networks applied to the acrobot
    14 years 11 months ago
    High-accuracy value-function approximation with neural networks applied to the acrobot
    Download  remi.coulom.free.fr
    Several reinforcement-learning techniques have already been applied to the Acrobot control problem, using linear function approximators to estimate the value function. In this pape...
    Rémi Coulom
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