NDLI: Mathematical Programming Methods for Reasoning Under Uncertainty

Content Provider	Semantic Scholar
Author	Hooker, John N.
Copyright Year	1992
Abstract	We survey three applications of mathematical programming to reasoning under uncertainty: a) an application of linear programming to probabilistic logic; b) an application of nonlinear programming to Bayesian logic, a combination of Bayesian inference with probabilistic logic; and c) an application of integer programming to Dempster-Shafer theory, which is a method of combining evidence from different sources.
Starting Page	23
Ending Page	34
Page Count	12
File Format	PDF HTM / HTML
DOI	10.1007/978-3-642-46773-8_4
Alternate Webpage(s)	http://repository.cmu.edu/cgi/viewcontent.cgi?article=1204&context=tepper
Alternate Webpage(s)	https://doi.org/10.1007/978-3-642-46773-8_4
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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