information measure

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Noun1.information measure - a system of measurement of information based on the probabilities of the events that convey information
entropy, selective information, information - (communication theory) a numerical measure of the uncertainty of an outcome; "the signal contained thousands of bits of information"
system of measurement, metric - a system of related measures that facilitates the quantification of some particular characteristic
bandwidth - a data transmission rate; the maximum amount of information (bits/second) that can be transmitted along a channel
baud, baud rate - (computer science) a data transmission rate (bits/second) for modems
References in periodicals archive ?
The Deputy Minister emphasized that the holding of this competition, on the one hand, allows to remind manufacturers of the responsible choice of packaging materials for their products, develops environmental thinking, and on the other hand is a kind of information measure to support those producers who are keeping pace with the times, using modern materials ".
Grace Poe also hoped that Duterte would mention the Freedom of Information measure, as well as the emergency powers for the improvement of the country's infrastructure.
This technology conveys well-organized computing by merging storage, memory, process, and information measure.
In this study, we analyse the reliability and validity (Bryman, 2012) of the alternative asymmetric information measure proposed by Corwin and Schultz (2012a) for the Brazilian stock market.
The main reason for the frequent use of the mutual information measure is that it only assumes that image features have a probabilistic relationship which is the loosest of assumptions which can be made.
The most suitable ones for a correlation of surface roughness are: information measure of correlation 2 (SC) (73.
One way to overcome this problem is to apply an interval information measure.
In the present paper, we study the characterization results of the past lifetime distributions by using the following generalized information measure
In the first matching algorithm, referred to as texture measure matching or TM-matching, the image texture was quantified by 13 texture measures calculated from averaged GLCMs: maximum probability, entropy, energy, inertia, inverse difference moment, correlation, sum average, sum entropy, difference entropy, sum variance, difference average, difference variance, information measure of correlation.
Although often called an information measure, in reality H is not a direct measure of information and at best measures information indirectly, or inversely.
To have a consistent model of turbulence, an information measure of N-S equations should be defined.
Perhaps it is to be expected that an information measure, suc as is used by Barrett and Sober, is able to mirror these human abilities.

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