Elements of information theory
Elements of information theory
Machine Learning - Special issue on learning with probabilistic representations
Random worlds and maximum entropy
Journal of Artificial Intelligence Research
Representation dependence in probabilistic inference
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
A general minimax result for relative entropy
IEEE Transactions on Information Theory
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We give an interpretation of the Maximum Entropy (MaxEnt) Principle in gametheoretic terms. Based on this interpretation, we make a formal distinction between different ways of applying Maximum Entropy distributions. MaxEnt has frequently been criticized on the grounds that it leads to highly representation dependent results. Our distinction allows us to avoid this problem in many cases.