If you ever wanted to know and really understand the maximum entropy principle to the point of being able to routinely use it this text is ideal and is a great sequel to dr daves volume 1 information processing boolean algebra classical logic cellular automata and probability manipulations. The maximum entropy principle also eliminates the mystery as to the origin of the mathematical expressions underlying all probability distributions the mep derivation for the gaussian and generalized cauchy distributions is shown in detail the mep is also related to fisher information and the kullback leibler measure of relative entropy the . The principle of maximum entropy states that the probability distribution which best represents the current state of knowledge is the one with largest entropy in the context of precisely stated prior data such as a proposition that expresses testable information another way of stating this take precisely stated prior data or testable information about a probability distribution function. Information processing and thermodynamic entropy from the logarithmic form of boltzmann entropy the proportion by volume it would suggest that statistical mechanics is incomplete without being supplemented with this new principle of information processing. Home conferences acl proceedings acl 98 coling 98 maximum entropy model learning of the translation rules article free access maximum entropy model learning of the translation rules share on authors kengo sato keio university yokohama japan keio university yokohama japan view profile
How it works:
1. Register Trial Account.
2. Download The Books as you like ( Personal use )