Bayesian Network
Expanded definition
Bayesian networks are used to model uncertainty in complex domains by capturing relationships between variables. Each node in the graph represents a variable, and the directed edges indicate the dependencies between them. Inference in Bayesian networks allows for the computation of probabilities and predictions based on observed data.
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Bayesian Network FAQ
What is Bayesian Network?
A probabilistic graphical model that represents a set of variables and their conditional dependencies using a directed acyclic graph.
How is Bayesian Network used in AI systems?
Bayesian networks are used to model uncertainty in complex domains by capturing relationships between variables. Each node in the graph represents a variable, and the directed edges indicate the dependencies between them. Inference in Bayesian networks allows for the computation of probabilities and predictions based on observed data.
Related
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