Machine Learning, Data Science, Conditional Random Fields, Graphical Model, Handwriting Recognition.
G = (V, E) with the vertices or nodes representing random variables and the edges collectively representing the dependencies between those variables. The graph can be factorized into J different cliques or factors, each governed by a factor function ϕⱼ with its scope being a subset of random