Foundations of Probabilistic Programming

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http://doi.org/10.1017/9781108770750
Contributor(s)
Barthe, Gilles (editor)
Katoen, Joost-Pieter (editor)
Silva, Alexandra (editor)
Language
English
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Abstract
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.
URI
https://directory.doabooks.org/handle/20.500.12854/90855
Keywords
theory of programming languages
DOI
10.1017/9781108770750
ISBN
9781108770750, 9781108488518
Publisher
Cambridge University Press
Publication date and place
2020
Series
Mathematical Sciences and Information Technology,
Classification
Programming and scripting languages: general
Machine learning
Artificial intelligence
Pages
582
Rights
https://creativecommons.org/licenses/by/4.0
https://creativecommons.org/licenses/by/4.0
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0