The maximum entropy principle advocates to evaluate events’ probabilities using a distribution that maximizes among those satisfy certain expectations’ constraints. Such can be generalized for arbitrary decision problems where it corresponds minimax approaches. This paper establishes framework supervised classification based on the leads risk classifiers (MRCs). We develop learning techniques d...