Sentence examples for expected information in from inspiring English sources

Information will be appended to the expected information in existing fields, so again you have your case when you are plopping some kind of composition data, some kind of stereochemical data into a label on a dummy atom in a structure picture.

FMA allows some parts of the lookup table and other matching rules to be applied selectively based on the expected information in the free text (Table 2).

As a digital world, technology is ingrained in every industry and future generations expect information in real-time.

In calculating expected information gain in optimal Bayesian experimental design, the computation of the inner loop in the classical double-loop Monte Carlo requires a large number of samples and suffers from underflow if the number of samples is small.

Uncertainty analysis shows that expected information is in general nonlinearly related to the level of a priori or measurement uncertainty in the geophysical and petrophysical parameters, to the true CO2 saturation, and also to the measurement frequency in the case of seismic measurements.

In this work, we present a new methodology, based on the Laplace approximation for the integration of the posterior probability density function (pdf), to accelerate the estimation of the expected information gains in the model parameters and predictive quantities of interest.

CHCs in Ndlavela appeared to transfer more of the expected information than those in Boane.

In this work, the cameras in the VSN use the extended information filter (EIF) as the local filter and calculate the expected information gain (EIG) in the form of a logarithmic ratio of the expected and posterior information matrices.

Entropy is a measure of the uncertainty associated with a random variable and quantifies the expected information content contained in the data.

(2013), a new method based on the Laplace approximation was developed to accelerate the estimation of the post-experimental expected information gains (Kullback Leibler divergence) in model parameters and predictive quantities of interest in the Bayesian framework.

But they expected information to remain confidential in the future.