Expectation maximization over binary decision diagrams for probabilistic logic programs

Abstract

Recently much work in Machine Learning has concentrated on using expressive representation languages that combine aspects of logic and probability. A whole field has emerged, called Statistical Relational Learning, rich of successful applications in