In the data stream classification process, in addition to the solution of massive and realtime data stream, the dynamic changes of the need to focus and study. From the angle of detecting concept drift, according to the dynamic characteristics of the data stream. This paper proposes a new classification method for data stream based on the combined use of concept drift detection and classificati...

Since Bekenstein introduced the thermodynamical analogy in black hole physics and Hawking discovered thermal radiation from a black hole confirming this analogy , it is an intriguing problem as to what degrees of freedom are counted by the entropy of a black hole. Equivalently, what (if any) statistical mechanics is responsible for the Bekenstein-Hawking entropy? According to ’t Hooft the stati...

The notion of entropy was introduced by Clausius in 1850, and some of the main steps towards the consolidation of the concept were taken by Boltzmann and Gibbs. Since then several extensions and reformulations have been developed in various disciplines with motivations and applications in different subjects, such as statistical mechanics, information theory, and dynamical systems. Fujii and Kam...

Shannon’s entropy is a basic quantity in information theory, and a fundamental building block for the analysis of neural codes. Estimating the entropy of a discrete distribution from samples is an important and difficult problem that has received considerable attention in statistics and theoretical neuroscience. However, neural responses have characteristic statistical structure that generic en...