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    CORR
    2006
    Springer
    103views Education» more  CORR 2006»
    On Separation, Randomness and Linearity for Network Codes over Finite Fields
    15 years 7 months ago
    On Separation, Randomness and Linearity for Network Codes over Finite Fields
    Download  web.mit.edu
    Siddharth Ray, Michelle Effros, Muriel Méda...
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    249
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    JMLR
    2008
    230views more  JMLR 2008»
    Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
    15 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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    PAMI
    2006
    109views more  PAMI 2006»
    Fuzzy Markov Random Fields versus Chains for Multispectral Image Segmentation
    15 years 7 months ago
    Fuzzy Markov Random Fields versus Chains for Multispectral Image Segmentation
    Download  lsiit-miv.u-strasbg.fr
    Fabien Salzenstein, Christophe Collet
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    BMCBI
    2005
    93views more  BMCBI 2005»
    Identifying gene and protein mentions in text using conditional random fields
    15 years 7 months ago
    Identifying gene and protein mentions in text using conditional random fields
    Download  www.pdg.cnb.uam.es
    Ryan T. McDonald, Fernando Pereira
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    TIP
    1998
    90views more  TIP 1998»
    ML parameter estimation for Markov random fields with applications to Bayesian tomography
    15 years 7 months ago
    ML parameter estimation for Markov random fields with applications to Bayesian tomography
    Download  engineering.purdue.edu
    Suhail S. Saquib, Charles A. Bouman, Ken D. Sauer
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