A probabilistic graphical model representing a set of variables and their conditional dependencies as a directed acyclic graph, letting the joint probability of many variables be computed efficiently from the graph's structure and a set of local probability tables.
Facts
Core PrincipleA probabilistic graphical model representing variables and their conditional dependencies via a directed acyclic graph. 1 Connections
In Field
Invented By
Judea Pearl developed Bayesian networks as a formalism for probabilistic reasoning, presented in his 1985 paper and 1988 book Probabilistic Reasoning in Intelligent Systems.
Sources
1. Bayesian network - Wikipedia
Lead paragraph
is a probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG).
In Group: Machine Learning Models, Lead
A Bayesian network (also known as a Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG).
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