Machine Learning, Data Science, Conditional Random Fields, Graphical Model, Handwriting Recognition.
“When we condition the graph on X globally i.e. when the values of random variables in X is fixed or given, all the random variables in set Y follow the Markov property p(Yᵤ/X,Yᵥ, u≠v) = p(Yᵤ/X,Yₓ, Yᵤ~Yₓ), where Yᵤ~Yₓ signifies that Yᵤ and Yₓ are neighbors in the graph.” A variable’s neighboring