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    ICML
    2010
    IEEE
    227views Machine Learning» more  ICML 2010»
    Learning Efficiently with Approximate Inference via Dual Losses
    15 years 8 months ago
    Learning Efficiently with Approximate Inference via Dual Losses
    Download  www.cs.huji.ac.il
    Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
    Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
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    PAMI
    2007
    176views more  PAMI 2007»
    Approximate Labeling via Graph Cuts Based on Linear Programming
    15 years 6 months ago
    Approximate Labeling via Graph Cuts Based on Linear Programming
    Download  www.csd.uoc.gr
    A new framework is presented for both understanding and developing graph-cut based combinatorial algorithms suitable for the approximate optimization of a very wide class of MRFs ...
    Nikos Komodakis, Georgios Tziritas
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    GECCO
    2009
    Springer
    86views Optimization» more  GECCO 2009»
    Initial-population bias in the univariate estimation of distribution algorithm
    16 years 1 months ago
    Initial-population bias in the univariate estimation of distribution algorithm
    Download  medal.cs.umsl.edu
    Martin Pelikan, Kumara Sastry
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    EUROGP
    2007
    Springer
    95views Optimization» more  EUROGP 2007»
    On the Limiting Distribution of Program Sizes in Tree-Based Genetic Programming
    16 years 1 months ago
    On the Limiting Distribution of Program Sizes in Tree-Based Genetic Programming
    Download  cswww.essex.ac.uk
    Riccardo Poli, William B. Langdon, Stephen Dignum
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    GECCO
    2007
    Springer
    155views Optimization» more  GECCO 2007»
    Distributed evolutionary computation for fun and profit
    16 years 1 months ago
    Distributed evolutionary computation for fun and profit
    Download  www.cs.bham.ac.uk
    Juan Julián Merelo Guervós, Juan Lu&...
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