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This book provides an overview of the theoretical underpinnings of modern probabilistic programming and presents applications in e.g., machine learning, securit
Foundations of Probabilistic Logic Programming
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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
Probabilistic Inductive Logic Programming
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This book provides an introduction to probabilistic inductive logic programming. It places emphasis on the methods based on logic programming principles and cov
Abstraction, Refinement and Proof for Probabilistic Systems
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Provides an integrated coverage of random/probabilistic algorithms, assertion-based program reasoning, and refinement programming models, providing a focused su
Foundations of Probabilistic Logic Programming
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Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertain information by means of probability theory. Probabilistic