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The maximization of the entropy term in Eq. (5) is equivalent to finding the probability distribution (p_{k} left( varvec{X} right)) closest to (pleft( varvec{X} right)), and the maximum entropy procedure gives us the "raw" output: (p_{k}^{raw} left( varvec{X} right) = p_{k} left( varvec{X} right)/pleft( varvec{X} right)) [54].
The distributions presented in the figures were obtained with the maximum entropy procedure, unless stated otherwise.
Similar(58)
The nonextensive probability distribution p i is obtained by application of the maximum entropy method, a procedure formulated by the American Edward T. Jaynes [24, 25].
This paper presents a new method for reconstructing the bathymetric profile of a cross section based on the application of the principle of maximum entropy and proposes a procedure for its parameterization.
In respect of the standard methods such as FT (Fourier transform) or MEM (maximum entropy method), the advantage of this procedure is that it is the most mathematically correct procedure for the time series here analyzed.
Computing algorithm based on the maximum entropy (MENT) concept in combination with data preprocessing procedure has been developed.
Environmental suitability was modelled using maximum entropy modelling (Maxent), a machine-learning process that uses presence-only data [6].
The other suggested variations of the reconstruction procedure included introducing different optimization techniques such as simulated annealing and maximum entropy.
Our main procedure is based on the principle of indifference combined with the maximum entropy principle, thus keeping external model assumptions to a minimum.
The training procedure is performed by iterating through three steps: computing sufficient statistics, training all maximum entropy distributions, and calculating occupation probabilities.
Similarly, the one-way street to maximum entropy is just that, it has a beginning and an end.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com