An Introduction to Probabilistic Graphical Models

作者

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https://doi.org/10.32473/flairs.37.1.135577

摘要

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.
Further reading and software packages and frameworks will also be discussed.

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已出版

2024-05-13

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Portinale, L. (2024). An Introduction to Probabilistic Graphical Models. The International FLAIRS Conference Proceedings, 37(1). https://doi.org/10.32473/flairs.37.1.135577

期

卷 37 (2024): Vol. 37 (2024): Proceedings of FLAIRS-37

栏目

Tutorials

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