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Foundations of Probabilistic Programming

This book provides an overview of the theoretical underpinnings of modern probabilistic programming and presents applications in e.g., machine learning, security, and approximate computing. Comprehensive survey chapters make the material accessible to graduate students and non-experts. This title is...

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Bibliographic Details
Other Authors: Barthe, Gilles (Editor), Katoen, Joost-Pieter (Editor), Silva, Alexandra (Editor)
Format: Electronic Book Chapter
Language:English
Published: Cambridge University Press 2020
Series:Mathematical Sciences and Information Technology
Subjects:
Programming & scripting languages: general
Machine learning
Artificial intelligence
theory of programming languages
Online Access:DOAB: download the publication
DOAB: description of the publication
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Summary:This book provides an overview of the theoretical underpinnings of modern probabilistic programming and presents applications in e.g., machine learning, security, and approximate computing. Comprehensive survey chapters make the material accessible to graduate students and non-experts. This title is also available as Open Access on Cambridge Core.
Physical Description:1 electronic resource (582 p.)
ISBN:9781108770750
9781108488518
DOI:10.1017/9781108770750
Access:Open Access

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