This book provides an overview of the theoretical underpinnings of modern probabilistic programming and presents applications in e.g., machine learning, securit
Since its birth, the field of Probabilistic Logic Programming has seen a steady increase of activity, with many proposals for languages and algorithms for infer
This book provides an introduction to probabilistic inductive logic programming. It places emphasis on the methods based on logic programming principles and cov
Provides an integrated coverage of random/probabilistic algorithms, assertion-based program reasoning, and refinement programming models, providing a focused su
Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertain information by means of probability theory. Probabilistic