56 citations · 113 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
Inference in Probabilistic Logic Programs using Lifted Explanations
Arun Nampally, C. R. Ramakrishnan
In this paper, we consider the problem of lifted inference in the context of Prism-like probabilistic logic programming languages. Traditional inference in such languages involves…
Adaptive MCMC-Based Inference in Probabilistic Logic Programs
Arun Nampally, C. R. Ramakrishnan
Probabilistic Logic Programming (PLP) languages enable programmers to specify systems that combine logical models with statistical knowledge. The inference problem, to determine th…
Parameter Learning in PRISM Programs with Continuous Random Variables
Muhammad Asiful Islam, C. R. Ramakrishnan, I. V. Ramakrishnan
Probabilistic Logic Programming (PLP), exemplified by Sato and Kameya's PRISM, Poole's ICL, De Raedt et al's ProbLog and Vennekens et al's LPAD, combines statistical and logical kn…
Inference in Probabilistic Logic Programs with Continuous Random Variables
Muhammad Asiful Islam, C. R. Ramakrishnan, I. V. Ramakrishnan
Probabilistic Logic Programming (PLP), exemplified by Sato and Kameya's PRISM, Poole's ICL, Raedt et al's ProbLog and Vennekens et al's LPAD, is aimed at combining statistical and…