Sentence examples for information sum from inspiring English sources

In the proposed game-theoretic approach, denote I i  as the maximum value between the mutual information of direct communication I DC  and the minimal value between I S R i, the mutual information between the source and the selected relay R i, and I MRC, the mutual information sum of source destination and relay R i  destination [29].

Hence, the optimization now is becoming the expected mutual information summed over a finite horizon of N blocks, by choosing a deterministic battery operation policy from the set π={α n =μ(s n ),∀s n,n=1,2,…,N} based on the state s n.

The broadcast signal is received on monaural receivers by making one set of information the sum of left and right signals (L + R).

Averaging the more sensitive information factor (sum) and the closeness-to-being-true factor (min) yields some interesting results.

Given a set of neighbors of a node without any range information, the sum of squares of hop distance errors is minimized at a point away from all the neighbors equally.

We also compare our mRMR-ReliefF selection algorithm with other gene selection algorithms, including Max-Relevance, Information Gain, Sum Minority, Twoing Rule, F-statistic [ 23], and GSNR [ 24].

In this two-compartment model (see Supplementary Information) the sum of Gd-DTPA in the vascular and extra-vascular spaces contributed to the total measured signal enhancement.

In this part, we introduce six other gene selection algorithms which are mentioned in the chapter of "Result and discussion", which are named Max-Relevance, Information Gain, Sum Minority, Twoing Rule, F-statistic [ 23], and GSNR [ 24].

Based on the calculated tag information, the sum of the included tags was evaluated to determine whether more than a 10-fold difference between the IP and the WCE was present.

From Table 3, we observe that: This table shows the classification results based on the 30 genes, which are selected from 7 different datasets using seven feature selection methods, named mRMR-ReliefF, Maxrel, information gain, sum minority, twoing rule, F-statistic, GSNR.

We formally evaluated the goodness of fit of our models using the total residual deviance (posterior mean of the deviance under a given model minus the deviance for the saturated model) along with the deviance information criterion (sum of the posterior mean of the residual deviance and the effective number of parameters).