Machine Learning, Data Science, Conditional Random Fields, Graphical Model, Handwriting Recognition.
variables CRF Theory and likelihood optimization Let us first define the parameters and then build up the equations for joint(and conditional) probabilities using the Gibbs notation. Label domain : Assume that random variables in set Y have a domain : {m ϵ ℕ | 1≤m ≤M} i.e. first M natural numbers.