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  1. Vor 15 Stunden · A Didactic Journeyfrom Statistical Physics toThermodynamicsA. Michael Riedl∗. Institute for Theoretical Physic - Johannes Kepler Universit ̈at, Altenbergerstr. 69, A-4040 Linz, Austria. Mario Graml†. enbergerstr. 69, A-4040 Linz, Austria(Dated: July 8, 2024)This paper offers a pedestrian guide from the fundamental properties of entropy to ...

  2. en.wikipedia.org › wiki › EntropyEntropy - Wikipedia

    Vor 3 Tagen · In statistical mechanics, entropy is a measure of the number of ways a system can be arranged, often taken to be a measure of "disorder" (the higher the entropy, the higher the disorder).

  3. 28. Juni 2024 · Entropy , EISSN 1099-4300, Published by MDPI. Almost two decades ago, Ernesto P. Borges and Bruce M. Boghosian embarked on the intricate task of composing a manuscript to honor the profound contributions of Constantino Tsallis to the realm of statistical physics, coupled with a concise exploration of q-Statistics.

  4. Vor 4 Tagen · In statistics and information theory, a maximum entropy probability distribution has entropy that is at least as great as that of all other members of a specified class of probability distributions. According to the principle of maximum entropy, if nothing is known about a distribution except that it belongs to a certain class (usually defined ...

  5. Vor 5 Tagen · Loss functions measure algorithmic errors in artificial-intelligence models, but there’s more than one way to do that. Here’s why the right function is so important.

  6. Vor 6 Tagen · In probability theory and statistics, the Poisson distribution is a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time if these events occur with a known constant mean rate and independently of the time since the last event. [1]

  7. 21. Juni 2024 · The concept of entropy, a term borrowed from thermodynamics, has found profound applications in the realm of time series analysis. The appeal of entropy-based algorithms lies in their ability to provide a statistical measure of a system's complexity, offering insights into its predictability and inherent structure. Over the years, several ...