The principle of maximum entropy states that the probability distribution which best represents the current state of knowledge about a system is the one...

the principle of maximum entropy, if nothing is known about a distribution except that it belongs to a certain class (usually defined in terms of specified...

in Shannon information theory, Bayesian probability, and the principle of maximum entropy. These techniques are relevant to any situation requiring prediction...

state of disorder, randomness, or uncertainty. Maximum entropy thermodynamics Maximum entropy spectral estimation Principle of maximum entropy Maximum entropy...

The principle of maximum caliber (MaxCal) or maximum path entropy principle, suggested by E. T. Jaynes, can be considered as a generalization of the principle...

(negative entropy) Phase space Principle of maximum entropy Residual entropy Thermodynamic potential The overdots represent derivatives of the quantities...

distribution to represent the sources of uncertainty? One popular method is to make use of the principle of maximum entropy, which states that the distribution...

construction of logical principles for assigning prior probability distributions; see the principle of maximum entropy, the principle of maximum caliber,...

be used to split the nodes of the tree optimally. Bayesian inference models often apply the principle of maximum entropy to obtain prior probability...

namely the principle of transformation groups as in the Jeffreys prior, and the principle of maximum entropy. More generally, one speaks of uninformative...