written by Charles Sutton Andrew McCallum A conditional random field is simply a conditional distribution p(y|x) with an associated graphical structure. Because the model is conditional, dependencies among the input variables x do not need to be expl
Often we wish to predict a large number of variables that depend on each other as well as on other observed variables. Structured prediction methods are essentially a combination of classication and graphical modeling, combining the ability of graph
