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The entropy score of an observed outcome that has been given a probability forecast p is defined to be -log p. If p is derived from a probability model and there is a background model for which the ...
An Entropy Concentration Theorem: Applications in Artificial Intelligence and Descriptive Statistics
This is a preview. Log in through your library . Abstract The maximum entropy principle is used to model uncertainty by a maximum entropy distribution, subject to some appropriate linear constraints.
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. I recently led a webinar on the laws of thermodynamics, which got me thinking: A business is ...
Arxiv – Information Physics: The New Frontier provides examples of quantify partially-ordered sets and, in the process, derive physical laws. At this point in time, two major areas of physics, ...
Yale linguistics professor Jason Shaw, together with Keio University professor Shigeto Kawahara, has determined that surprisal and entropy prolong the length of vowel sounds in Japanese. The paper, ...
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