if you can't find full probability table, why use discriminative graph for factor inference? can an algorithm be used to predict the discriminative feature of a factor graph? which statement best describes the training of factors in a factor graph training factor graph can you make inference on discriminative graphs how to train a factor graph what is the difference between inference on factor graphs and discrimination graphs what is a factor graph what is discriminative factor graph? why are factor graphs different what are factor graphs used for which of the following is the most realistic use of inference algorithm how is factor graphing different from training for factor graphs? how are factor graphs different which factor represents an algorithm for inference? what is a factor graph can you inference on factor graphs which graph is discriminative model? what is the definition of conditional probability tables which algorithm to perform discrimination on factor graphs