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Discovering Cyclic Causal Models by Independent Components Analysis
Gustavo Lacerda
Video in druga učna gradiva
Oznake: computer science;machine learning
This talk will start by presenting Shimizu et al's (2006) ICA-based approach (LiNGAM) for discovering acyclic (DAG) linear Structural Equation Models (SEMs) from causally sufficient, continuous-valued observational data. This is remarkable because it determines the direction of every causal arrow wh ...
Leto: 2008 Vir: videolectures.net
Discovering Cyclic Causal Models by Independent Components Analysis
Gustavo Lacerda
Video in druga učna gradiva
Oznake: computer science;data modeling
We generalize Shimizu et al's (2006) ICA-based approach for discovering linear non-Gaussian acyclic (LiNGAM) Structural Equation Models (SEMs) from causally sufficient, continuous-valued observational data. By relaxing the assumption that the generating SEM's graph is acyclic, we solve the more gene ...
Leto: 2008 Vir: videolectures.net
Št. zadetkov: 2
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