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    CORR
    2006
    Springer
    103views Education» more  CORR 2006»
    On Separation, Randomness and Linearity for Network Codes over Finite Fields
    13 years 10 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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    JMLR
    2008
    230views more  JMLR 2008»
    Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
    13 years 10 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
    13 years 10 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
    13 years 10 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
    13 years 9 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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