Explore 4 AI terms in Probabilistic Graphical Models
A Bayesian Belief Network (BBN) is a graphical model that represents probabilistic relationships among variables.
The Junction Tree Algorithm is a method for exact inference in graphical models, particularly useful for Bayesian networks.
Likelihood weighting is a sampling method used in probabilistic inference, particularly in Bayesian networks.
A Markov Blanket is a set of variables that shields a target variable from the rest of the network.