These include: Loopy belief propagation Alpha expansion Mean field inference Linear programming relaxations Learning the parameters θ {\displaystyle \theta } is usually done by maximum likelihood learning for p ( Y i | X i ; θ ) {\displaystyle p(Y_{i}|X_{i};\theta )} .
Chúng bao gồm: Loopy belief propagation Alpha expansion Mean field inference Linear programming relaxations Khi học tham số θ {\displaystyle \theta } ta thường dùng maximum likelihood để học p ( Y i | X i ; θ ) {\displaystyle p(Y_{i}|X_{i};\theta )} .