Maximum entropy classifier is mostly used for Natural Language Processing, in which the datas are discrete. I learned the formalism from the paper A maximum entropy approach to natural language processing and understood most of it.
My question is, how to apply the Maximum Entropy principle to do the classification on a continuous data set?
I am asking for some sources where I can learn the formalism, not the software packages.