An Introduction to Probabilistic Graphical Models

Luigi Portinale

doi:10.32473/flairs.37.1.135577

An Introduction to Probabilistic Graphical Models

Luigi Portinale

Dipartimento di Scienze e Innovazione Tecnologica

Risultato della ricerca: Contributo su rivista › Articolo da conferenza › peer review

Abstract

This tutorial covers an introduction to Probabilistic Graphical Models (PGM), such as Bayesian Networks and Markov Random Fields, for reasoning under uncertainty in intelligent systems. Basic terminology, formal concepts, representational and inference issues will be discussed, starting from basic notions about probability theory, in such a way that the novice and the less skilled in the field will be able to follow the details.

Lingua originale	Inglese
Rivista	Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS
Volume	37
DOI	https://doi.org/10.32473/flairs.37.1.135577
Stato di pubblicazione	Pubblicato - 12 mag 2024
Evento	37th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2024 - Miramar Beach, United States Durata: 19 mag 2024 → 21 mag 2024

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10.32473/flairs.37.1.135577

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An Introduction to Probabilistic Graphical Models

Abstract

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