Keywords

#conditional_entropy

Conditional entropy

Measure of relative information in probability theory

In information theory, the conditional entropy quantifies the amount of information needed to describe the outcome of a random variable given that the value of another random variable is known. Here, information is measured in shannons, nats, or hartleys. The entropy of conditioned on is written as .

Fri 12th

Provided by Wikipedia

Learn More

This keyword could refer to multiple things. Here are some suggestions:

Conditional entropy Conditional quantum entropy Information theory Entropy (information theory) Min-entropy Quantities of information Cross-entropy Kullback–Leibler divergence Conditional mutual information Entropy rate
0 searches
This keyword has never been searched before
This keyword has never been searched for with any other keyword.