The purpose of this applet is to help develop intuition about maximum entropy distributions. A central advantage of the maximum entropy framework is its ability to model overlapping events without increasing the number of parameters or fragmenting the training data. Using maximum entropy techniques, it is possible to model a probability distribution on 2n elements using only n free parameters.

http://www.cs.princeton.edu/~ristad/java/overlap/