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Learning to learn causal models.
Stephan, K.E. et al. Nonlinear dynamic causal models for fMRI.
The representations used in the emerging theory are causal Bayes nets or graphical causal models.
The role of causal models in reasoning under uncertainty.
Given experience with a set of objects, our framework learns a causal model for each object and a causal schema that captures commonalities among these causal models.
We then present a new characterization of weak cause for a certain class of causal models in which the causal graph over the endogenous variables has the form of a directed chain of causal subgraphs, called decomposable causal graph.
His research interests are mainly in statistical learning, graphical model, social networks and causal models.
No support was found for alternative causal models.
Causal models must interrelate phenomena of very different types.
(More on this in the section on causal models).
(A ) Causal models M1 M5.
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