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    UAI
    2008
    239views Artificial Intelligence» more  UAI 2008»
    Constrained Approximate Maximum Entropy Learning of Markov Random Fields
    13 years 9 months ago
    Constrained Approximate Maximum Entropy Learning of Markov Random Fields
    Download  uai2008.cs.helsinki.fi
    Varun Ganapathi, David Vickrey, John Duchi, Daphne...
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    ACL
    2006
    142views Computational Linguistics» more  ACL 2006»
    Improving the Scalability of Semi-Markov Conditional Random Fields for Named Entity Recognition
    13 years 9 months ago
    Improving the Scalability of Semi-Markov Conditional Random Fields for Named Entity Recognition
    Download  www-tsujii.is.s.u-tokyo.ac.jp
    This paper presents techniques to apply semi-CRFs to Named Entity Recognition tasks with a tractable computational cost. Our framework can handle an NER task that has long named e...
    Daisuke Okanohara, Yusuke Miyao, Yoshimasa Tsuruok...
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    COLING
    1996
    90views Computational Linguistics» more  COLING 1996»
    Markov random field based English Part-Of-Speech tagging system
    13 years 9 months ago
    Markov random field based English Part-Of-Speech tagging system
    Download  swrc.kaist.ac.kr
    Sung-Young Jung, Young C. Park, Key-Sun Choi, Youn...
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    BMEI
    2009
    IEEE
    346views Biomedical Imaging» more  BMEI 2009»
    A Markov Random Field Model for Medical Image Denoising
    13 years 8 months ago
    A Markov Random Field Model for Medical Image Denoising
    Download  aao.sinica.edu.tw
    Ting-Li Chen
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    JMLR
    2008
    230views more  JMLR 2008»
    Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
    13 years 7 months ago
    Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
    Download  www.stat.berkeley.edu
    Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
    Michael Collins, Amir Globerson, Terry Koo, Xavier...
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