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    TNN
    1998
    111views more  TNN 1998»
    Asymptotic distributions associated to Oja's learning equation for neural networks
    14 years 11 months ago
    Asymptotic distributions associated to Oja's learning equation for neural networks
    Download  www-public.int-evry.fr
    — In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
    Jean Pierre Delmas, Jean-Francois Cardos
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    AAAI
    1998
    152views Intelligent Agents» more  AAAI 1998»
    Boosting in the Limit: Maximizing the Margin of Learned Ensembles
    15 years 1 months ago
    Boosting in the Limit: Maximizing the Margin of Learned Ensembles
    Download  reference.kfupm.edu.sa
    The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
    Adam J. Grove, Dale Schuurmans
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    ICMLA
    2003
    159views Machine Learning» more  ICMLA 2003»
    A Distributed Reinforcement Learning Approach to Pattern Inference in Go
    15 years 1 months ago
    A Distributed Reinforcement Learning Approach to Pattern Inference in Go
    Download  mysite.verizon.net
    — This paper shows that the distributed representation found in Learning Vector Quantization (LVQ) enables reinforcement learning methods to cope with a large decision search spa...
    Myriam Abramson, Harry Wechsler
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    SIGIR
    2008
    ACM
    130views Information Technology» more  SIGIR 2008»
    Personalized active learning for collaborative filtering
    14 years 11 months ago
    Personalized active learning for collaborative filtering
    Download  www.cs.cmu.edu
    Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
    Abhay Harpale, Yiming Yang
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    NIPS
    2008
    205views Information Technology» more  NIPS 2008»
    Dimensionality Reduction for Data in Multiple Feature Representations
    15 years 1 months ago
    Dimensionality Reduction for Data in Multiple Feature Representations
    Download  www.csie.ntu.edu.tw
    In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. These representa...
    Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
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