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Foundations of Probabilistic Programming

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Release : 2020-12-03
Genre : Computers
Kind : eBook
Book Rating : 51X/5 ( reviews)

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Book Synopsis Foundations of Probabilistic Programming by : Gilles Barthe

Download or read book Foundations of Probabilistic Programming written by Gilles Barthe. This book was released on 2020-12-03. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Foundations of Probabilistic Logic Programming

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Release : 2023-07-07
Genre : Computers
Kind : eBook
Book Rating : 215/5 ( reviews)

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Book Synopsis Foundations of Probabilistic Logic Programming by : Fabrizio Riguzzi

Download or read book Foundations of Probabilistic Logic Programming written by Fabrizio Riguzzi. This book was released on 2023-07-07. Available in PDF, EPUB and Kindle. Book excerpt: Since its birth, the field of Probabilistic Logic Programming has seen a steady increase of activity, with many proposals for languages and algorithms for inference and learning. This book aims at providing an overview of the field with a special emphasis on languages under the Distribution Semantics, one of the most influential approaches. The book presents the main ideas for semantics, inference, and learning and highlights connections between the methods. Many examples of the book include a link to a page of the web application http://cplint.eu where the code can be run online. This 2nd edition aims at reporting the most exciting novelties in the field since the publication of the 1st edition. The semantics for hybrid programs with function symbols was placed on a sound footing. Probabilistic Answer Set Programming gained a lot of interest together with the studies on the complexity of inference. Algorithms for solving the MPE and MAP tasks are now available. Inference for hybrid programs has changed dramatically with the introduction of Weighted Model Integration. With respect to learning, the first approaches for neuro-symbolic integration have appeared together with algorithms for learning the structure for hybrid programs. Moreover, given the cost of learning PLPs, various works proposed language restrictions to speed up learning and improve its scaling.

Foundations of Probabilistic Logic Programming

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Author :
Release : 2022-09-01
Genre : Computers
Kind : eBook
Book Rating : 87X/5 ( reviews)

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Book Synopsis Foundations of Probabilistic Logic Programming by : Fabrizio Riguzzi

Download or read book Foundations of Probabilistic Logic Programming written by Fabrizio Riguzzi. This book was released on 2022-09-01. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertain information by means of probability theory. Probabilistic Logic Programming is at the intersection of two wider research fields: the integration of logic and probability and Probabilistic Programming.Logic enables the representation of complex relations among entities while probability theory is useful for model uncertainty over attributes and relations. Combining the two is a very active field of study.Probabilistic Programming extends programming languages with probabilistic primitives that can be used to write complex probabilistic models. Algorithms for the inference and learning tasks are then provided automatically by the system.Probabilistic Logic programming is at the same time a logic language, with its knowledge representation capabilities, and a Turing complete language, with its computation capabilities, thus providing the best of both worlds.Since its birth, the field of Probabilistic Logic Programming has seen a steady increase of activity, with many proposals for languages and algorithms for inference and learning. Foundations of Probabilistic Logic Programming aims at providing an overview of the field with a special emphasis on languages under the Distribution Semantics, one of the most influential approaches. The book presents the main ideas for semantics, inference, and learning and highlights connections between the methods.Many examples of the book include a link to a page of the web application http://cplint.eu where the code can be run online.

Probabilistic Inductive Logic Programming

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Release : 2008-02-26
Genre : Computers
Kind : eBook
Book Rating : 52X/5 ( reviews)

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Book Synopsis Probabilistic Inductive Logic Programming by : Luc De Raedt

Download or read book Probabilistic Inductive Logic Programming written by Luc De Raedt. This book was released on 2008-02-26. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to probabilistic inductive logic programming. It places emphasis on the methods based on logic programming principles and covers formalisms and systems, implementations and applications, as well as theory.

Abstraction, Refinement and Proof for Probabilistic Systems

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Release : 2005
Genre : Computers
Kind : eBook
Book Rating : 157/5 ( reviews)

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Book Synopsis Abstraction, Refinement and Proof for Probabilistic Systems by : Annabelle McIver

Download or read book Abstraction, Refinement and Proof for Probabilistic Systems written by Annabelle McIver. This book was released on 2005. Available in PDF, EPUB and Kindle. Book excerpt: Provides an integrated coverage of random/probabilistic algorithms, assertion-based program reasoning, and refinement programming models, providing a focused survey on probabilistic program semantics. This book illustrates, by examples, the typical steps necessary to build a mathematical model of any programming paradigm.

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