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    PAMI
    2000
    99views more  PAMI 2000»
    On the Algorithmic Implementation of Stochastic Discrimination
    14 years 9 months ago
    On the Algorithmic Implementation of Stochastic Discrimination
    Download  kappa.math.buffalo.edu
    Eugene M. Kleinberg
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    DMIN
    2006
    134views Data Mining» more  DMIN 2006»
    Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
    14 years 11 months ago
    Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
    Download  ect.bell-labs.com
    The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
    Iryna Skrypnyk, Tin Kam Ho
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    MCS
    2009
    Springer
    110views Pattern Recognition» more  MCS 2009»
    Improved Uniformity Enforcement in Stochastic Discrimination
    15 years 4 months ago
    Improved Uniformity Enforcement in Stochastic Discrimination
    Download  www.ee.surrey.ac.uk
    There are a variety of methods for inducing predictive systems from observed data. Many of these methods fall into the field of study of machine learning. Some of the most effec...
    Matthew Prior, Terry Windeatt
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    ACL
    2012
    211views Computational Linguistics» more  ACL 2012»
    Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
    13 years 9 hour ago
    Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
    Download  www.cs.cmu.edu
    With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
    Patrick Simianer, Stefan Riezler, Chris Dyer
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    NIPS
    2001
    117views Information Technology» more  NIPS 2001»
    An Efficient Clustering Algorithm Using Stochastic Association Model and Its Implementation Using Nanostructures
    14 years 11 months ago
    An Efficient Clustering Algorithm Using Stochastic Association Model and Its Implementation Using Nanostructures
    Download  books.nips.cc
    This paper describes a clustering algorithm for vector quantizers using a "stochastic association model". It offers a new simple and powerful softmax adaptation rule. Th...
    Takashi Morie, Tomohiro Matsuura, Makoto Nagata, A...
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