2 papers
cs.LG2026
An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks
Sheng Lun Christine Cao, Destenie Nock, Alex Davis
Discrete choice modeling is a common tool used for preference elicitation during policy-making, but this is typically done through parametric models. Machine learning can push the…
cs.AI2013
Hierarchical Evidence and Belief Functions
Paul K. Black, Kathryn Blackmond Laskey
Dempster/Shafer (D/S) theory has been advocated as a way of representing incompleteness of evidence in a system's knowledge base. Methods now exist for propagating beliefs through…