2 papers
cs.AI2019
Value of Information in Probabilistic Logic Programs
Sarthak Ghosh, C. R. Ramakrishnan
In medical decision making, we have to choose among several expensive diagnostic tests such that the certainty about a patient's health is maximized while remaining within the boun…
cs.LO2018
Constraint-Based Inference in Probabilistic Logic Programs
Arun Nampally, Timothy Zhang, C. R. Ramakrishnan
Probabilistic Logic Programs (PLPs) generalize traditional logic programs and allow the encoding of models combining logical structure and uncertainty. In PLP, inference is perform…