Automatic differentiation(AD) is one of the core techniques in modern deep learning frameworks. There are two main methods: forward & reverse mode AD. The Chain Rule Chain rule is the core pr...

Markov condition [p(x_{i} \Omega \backslash \mathbf{de}(x_{i})) = p(x_{i} \mathbf{pa}(x_{i}))] provides prior belief about “relevancy” between events.