You Lü

Block Belief Propagation for Parameter Learning in Markov Random Fields

2018 · arXiv (Cornell University)

Traditional learning methods for training Markov random fields require doing inference over all variables to compute the likelihood gradient. The iteration complexity for those methods therefore scales with the size of the graphical models. In …