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    TNN
    2008
    138views more  TNN 2008»
    A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
    13 years 11 months ago
    A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
    Download  www.ece.utk.edu
    This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
    Zhenzhen Liu, Itamar Elhanany
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    JPDC
    2007
    138views more  JPDC 2007»
    Distributed computation of the knn graph for large high-dimensional point sets
    13 years 10 months ago
    Distributed computation of the knn graph for large high-dimensional point sets
    Download  faculty.cua.edu
    High-dimensional problems arising from robot motion planning, biology, data mining, and geographic information systems often require the computation of k nearest neighbor (knn) gr...
    Erion Plaku, Lydia E. Kavraki
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    NGC
    2007
    Springer
    120views Communications» more  NGC 2007»
    End-to-End QoS Support for a Medical Grid Service Infrastructure
    13 years 10 months ago
    End-to-End QoS Support for a Medical Grid Service Infrastructure
    Download  eprints.ecs.soton.ac.uk
    Quality of Service support is an important prerequisite for the adoption of Grid technologies for medical applications. The GEMSS Grid infrastructure addressed this issue by offer...
    Siegfried Benkner, Gerhard Engelbrecht, Stuart E. ...
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    JMLR
    2010
    135views more  JMLR 2010»
    Bundle Methods for Regularized Risk Minimization
    13 years 9 months ago
    Bundle Methods for Regularized Risk Minimization
    Download  www.stat.purdue.edu
    A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
    Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...
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    PROCEDIA
    2010
    119views more  PROCEDIA 2010»
    Performance and accuracy of Lattice-Boltzmann kernels on multi- and manycore architectures
    13 years 9 months ago
    Performance and accuracy of Lattice-Boltzmann kernels on multi- and manycore architectures
    Download  www.mathematik.uni-dortmund.de
    We present different kernels based on Lattice-Boltzmann methods for the solution of the twodimensional Shallow Water and Navier-Stokes equations on fully structured lattices. The...
    Dirk Ribbrock, Markus Geveler, Dominik Göddek...
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