Leveraging Relational Representations for Causal Discovery
This thesis represents a synthesis of relational learning and causal discovery, two subjects at the frontier of machine learning research. Relational learning investigates algorithms for constructing statistical models of data drawn from of multiple types of interrelated entities, and causal discove...
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| Format: | Others |
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ScholarWorks@UMass Amherst
2012
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| Online Access: | https://scholarworks.umass.edu/open_access_dissertations/659 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1660&context=open_access_dissertations |