Markov Logic

This book PDF is perfect for those who love Computers genre, written by Pedro Dechter and published by Springer Nature which was released on 31 May 2022 with total hardcover pages 145. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Markov Logic books below.

Markov Logic
Author : Pedro Dechter
File Size : 54,5 Mb
Publisher : Springer Nature
Language : English
Release Date : 31 May 2022
ISBN : 9783031015496
Pages : 145 pages
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Markov Logic by Pedro Dechter Book PDF Summary

Most subfields of computer science have an interface layer via which applications communicate with the infrastructure, and this is key to their success (e.g., the Internet in networking, the relational model in databases, etc.). So far this interface layer has been missing in AI. First-order logic and probabilistic graphical models each have some of the necessary features, but a viable interface layer requires combining both. Markov logic is a powerful new language that accomplishes this by attaching weights to first-order formulas and treating them as templates for features of Markov random fields. Most statistical models in wide use are special cases of Markov logic, and first-order logic is its infinite-weight limit. Inference algorithms for Markov logic combine ideas from satisfiability, Markov chain Monte Carlo, belief propagation, and resolution. Learning algorithms make use of conditional likelihood, convex optimization, and inductive logic programming. Markov logic has been successfully applied to problems in information extraction and integration, natural language processing, robot mapping, social networks, computational biology, and others, and is the basis of the open-source Alchemy system. Table of Contents: Introduction / Markov Logic / Inference / Learning / Extensions / Applications / Conclusion

Markov Logic

Most subfields of computer science have an interface layer via which applications communicate with the infrastructure, and this is key to their success (e.g., the Internet in networking, the relational model in databases, etc.). So far this interface layer has been missing in AI. First-order logic and probabilistic graphical

Get Book
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