Markov Random Field, Conditional Random Field, Hidden Markov Model, Multivariate Gaussian Model
Probability Graph
It is a structure that we can transform the abstract knowledge to a probability graph and assign the problem to the variables in the graph.
FInd the marginal probability, maximun posterior probability, regularization parameter.
