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    SDM
    2008
    SIAM
    138views Data Mining» more  SDM 2008»
    Learning Markov Network Structure using Few Independence Tests
    14 years 5 months ago
    Learning Markov Network Structure using Few Independence Tests
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    In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
    Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
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    FUZZIEEE
    2007
    IEEE
    121views Fuzzy Logic» more  FUZZIEEE 2007»
    Learning Undirected Possibilistic Networks with Conditional Independence Tests
    14 years 10 months ago
    Learning Undirected Possibilistic Networks with Conditional Independence Tests
    Download  www.borgelt.net
    —Approaches based on conditional independence tests are among the most popular methods for learning graphical models from data. Due to the predominance of Bayesian networks in th...
    Christian Borgelt
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