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    ICONIP
    2008
    157views Information Technology» more  ICONIP 2008»
    The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method
    13 years 7 months ago
    The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method
    Download  ani.www.techfak.uni-bielefeld.de
    Abstract. The concept of Ensemble Learning has been shown to increase predictive power over single base learners. Given the bias-variancecovariance decomposition, diversity is char...
    Alexandra Scherbart, Tim W. Nattkemper
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    ESANN
    2003
    124views Neural Networks» more  ESANN 2003»
    Mixture of Experts and Local-Global Neural Networks
    13 years 7 months ago
    Mixture of Experts and Local-Global Neural Networks
    Download  www.dice.ucl.ac.be
    - In this paper we investigate mixture of experts problems in the context of Local-Global Neural Networks. This type of architecture was originaly conceived for functional approxim...
    Mayte Suárez-Fariñas, Carlos Eduardo...
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    EVOW
    2007
    Springer
    192views Artificial Intelligence» more  EVOW 2007»
    An Adaptive Global-Local Memetic Algorithm to Discover Resources in P2P Networks
    13 years 11 months ago
    An Adaptive Global-Local Memetic Algorithm to Discover Resources in P2P Networks
    Download  kotilainen.eu
    This paper proposes a neural network based approach for solving the resource discovery problem in Peer to Peer (P2P) networks and an Adaptive Global Local Memetic Algorithm (AGLMA)...
    Ferrante Neri, Niko Kotilainen, Mikko Vapa
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    ICMLA
    2010
    211views Machine Learning» more  ICMLA 2010»
    Ensembles of Neural Networks for Robust Reinforcement Learning
    13 years 3 months ago
    Ensembles of Neural Networks for Robust Reinforcement Learning
    Download  ahans.de
    Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
    Alexander Hans, Steffen Udluft
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    TNN
    2008
    65views more  TNN 2008»
    Local and Global Stability Analysis of an Unsupervised Competitive Neural Network
    13 years 5 months ago
    Local and Global Stability Analysis of an Unsupervised Competitive Neural Network
    Download  www.math.uni-bielefeld.de
    Anke Meyer-Bäse, Vera Thümmler
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