Sentence examples for quantify that information from inspiring English sources

Even if there were a way to quantify that information, there would be too many instances per day per person to keep track of.

Hence, the detector pixels being of the order of 58 μm in the micro-CT scanner used in this study would not be able to quantify that information if conventional, attenuation-based, CT was used.

In order to measure image quality, Sheikh and Bovik [4] propose an image information fidelity measure that quantifies the information that is present in the reference image and how much of this reference information can be extracted from the distorted image.

PID allows to quantify the information that several inputs provide individually (unique information), redundantly (shared information) or only jointly (synergistic information) about the output.

The goal is to quantify the information that online algorithms for this problem need to be supplied with to compute high-quality solutions and to overcome the drawback of not knowing future requests.

We can quantify the information that is gained by calculating the mutual information, which measures the regulatory precision, or the number of practically distinguishable input/output states, of this regulatory system.

The study of the spectral content and of the statistical characteristics of the EMD modes, computed from Gaussian white noise, led to the definition of a model that can quantify the information content of each IMF [2].

In information theory, the entropy statistic is a standard scoring method that quantifies the information encoded in a given random variable, where higher entropy implies a more informative distribution.

The concept of level of detail of the information is a tool for describing and quantifying the information that should be exchanged.

It's meant to collect data about everything from how active its user is to how well the user has been sleeping, in hopes that quantifying this information will make users more likely to keep track of it.

It quantifies the information that is lost when an estimated statistical model is used to describe reality and combines this goodness of fit with the complexity (degrees of freedom) of the model.