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Feature Selection and Causality Inference
Published on Feb 25, 20078635 Views
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Chapter list
Feature Selection and Causality Inference00:00
Purpose02:11
Road Map03:28
Feature Selection03:44
Uncovering Dependencies04:15
Predictions and Actions06:27
Individual Feature Irrelevance pt 110:11
Individual Feature Relevance pt 212:53
Multivariate Cases16:49
Is multivariate FS always best?20:03
In practice…21:54
Definition of “relevance”23:15
Is X2 “relevant”?24:28
Are X1 and X2“relevant”?29:54
Adding a variable…33:28
X1 || Y | X235:13
Really?36:33
Same independence relations Different causal relations37:18
Is X1 “relevant”? 39:11
Non-causal features may be predictive yet not “relevant”40:08
Causal Features43:52
Experiments47:06
Univariate Filter: AUC51:17
Causal Feature Selection54:45
Causal features are “robust” under change of distribution55:25
Conclusion59:20
http://clopinet.com/fextract-book01:00:08