In this section, we introduce the concept of logical entropy of measurable partitions and present basic properties of this measure of information.
These should include standard methodologies, and report item difficulty and discriminatory statistics along with a measure of information and an assessment of linearity of measurement.
To fully understand what defines consciousness, we need more than a single measure of information flow.
Transfer entropy is a measure of information flow between Markov processes.
We propose a measure of information gained through biometric matching systems.
Overall, findings suggest that the CTIP is an easy to administer and sensitive measure of information processing speed.
The results demonstrate that this measure of information sharing systematically increases with consciousness state, particularly across distant sites.
It has a meaning similar to Boltzmann entropy in physics and has been introduced as a measure of information or measure of uncertainty of the variable.
Observation of this instantaneous measure demonstrates how the traditional measure of information bandwidth, Fitts' motor throughput, emerges during the course of an aimed movement.
In addition to content coverage, we consider another important measure of information coverage called structure coverage, and model it using information entropy.
IIM is an evaluation method, based on Shannon's information theory, that lets designers compare different types of features by using a common measure of "information".
