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    ICONIP
    2007
    129views Information Technology» more  ICONIP 2007»
    Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes
    13 years 6 months ago
    Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes
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    Abstract. An effective way to examine causality is to conduct an experiment with random assignment. However, in many cases it is impossible or too expensive to perform controlled ...
    Shohei Shimizu, Aapo Hyvärinen
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    UAI
    2008
    229views Artificial Intelligence» more  UAI 2008»
    Discovering Cyclic Causal Models by Independent Components Analysis
    13 years 6 months ago
    Discovering Cyclic Causal Models by Independent Components Analysis
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    We generalize Shimizu et al's (2006) ICA-based approach for discovering linear non-Gaussian acyclic (LiNGAM) Structural Equation Models (SEMs) from causally sufficient, conti...
    Gustavo Lacerda, Peter Spirtes, Joseph Ramsey, Pat...
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