Sentence examples similar to e mutual from inspiring English sources

The IT features used in this study are 4 entropy (E), 17 mutual information (MI), 65 conditional mutual information (CMI), 1 Kullback-Leibler divergence (DKL), and 4 Markov model (M) related.

However, there are several issues (e.g., mutual interference among student pairs, confusing evaluation comments, untraceable corrections, etc).

The elements covered include ways of representing computer processors, memories, communication mechanisms, concurrency management resources, synchronization devices (e.g., mutual exclusion mechanisms), and various specialized input/output devices such as sensors and actuators.

1) insufficient use of pre-intervention data; 2) the lack of a control group without PBF during the entire time period; and 3) the possibility that other interventions (e.g., mutual health organizations, sensitization campaigns) influenced the results.

The optimal portfolio selection stage then establishes the project portfolio that best meets the performance indicators, considering project interactions (e.g., mutual exclusion, predecessor/successor) and further constraints (e.g., latest finishing dates, restricted budgets) (Kundisch and Meier 2011; Liu and Wang 2011).

On the other hand, the vulnerability of some approaches (e.g., mutual information within the MRMR variable selection) has not been sufficiently discussed in references.

Sometimes, people whose books I've written about negatively e-mail mutual friends to complain.

It is increasingly recognised that while most bereaved people do not require formal bereavement services, a considerable minority will benefit from non-specialised support (e.g., mutual-help groups, trained volunteer support), and an even smaller proportion will experience persistent psychiatric distress, such as Prolonged Grief Disorder, requiring specialist intervention [ 36, 41, 42].

Overall, M = E ∑ all mutual reverts min ( N d, N r ), (7).

where I u y i ) and I u y e ) are the mutual information at the ID receiver and the EH receiver, respectively; u is an auxiliary variable satisfying the Markov relation u→x→ y i,y e ); p u,x) is the joint distributions of u and x that satisfy the Markov relation.

Functional connectivity is often evaluated among all the elements of a system, regardless whether these elements are connected by direct structural links; moreover, it is highly time-dependent (hundreds of milliseconds) and model-free, and it measures statistical interdependence (e.g. mutual information) without explicit reference to causal effects.