Machine Learning, Aritificial Intelligence, Data Science, Programming, Deep Learning.
model, we compute factors and then normalized the result with a normalization factor Z to make it to a probability distribution p. For the Bayesian Network, the combined factors is already a distribution and Z=1. For a Markov Random Field, we sum up factors for all possible x to compute Z. We add a