Shannon's theory defines a data communication system composed of three elements: a source of data, a communication channel, and a receiver. Shannon (unit) · Differential entropy · Shannon source coding theorem · H-theorem |
| Информационная энтропия |  |
Информацио́нная энтропи́я — мера неопределённости некоторой системы, в частности, непредсказуемость появления какого-либо символа первичного алфавита. В последнем случае при отсутствии информационных потерь энтропия численно равна количеству... Википедия
The Shannon entropy is a statistical quantifier extensively used for the characterization of complex processes. |
Shannon Entropy is defined as a measure of information in a system, calculated based on the probabilities of different situations within the system. |
28 дек. 2023 г. · Shannon Entropy, named after its founder Claude Shannon, is a specific form of information entropy. It plays a key role in understanding and ... |
26 сент. 2022 г. · We proved the basic properties of Shannon's entropy that follow directly from the definition. Proposition 1. For every random variable α ... |
5 нояб. 2017 г. · Entropy and Information Gain are super important in many areas of machine learning, in particular, in the training of Decision Trees. |
6 дней назад · It turns out Shannon entropy emerges when we choose that something to be a sequence of samples consistent with a histogram approximating P (i.e ... |
VideolarHow Claude Shannon's Concept of Entropy Quantifies ... www.quantamagazine.org › how-claude-shanno...
6 сент. 2022 г. · It provides a rigorous mathematical framework for quantifying the amount of information needed to accurately send and receive a message. |
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