Sentence examples for gain sum from inspiring English sources

which is similar to (17) except that the probing gain (sum _{kin {A,B}}g_{k}) becomes a sum of the probing gain via each PT.

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 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].

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 found that for mutations to spread requires (WM - 1)+(WF - 1) > 0. That is, given the sex ratio is constrained to be 1 1, there must be an overall fitness gain summed across the mutant male and female genotypes, as has been pointed out in other contexts [ 28, 30, 46].

Table 5 Percent gain in sum rate for the TAS problem in a 61-node network % Gain in sum rate over greedy   Message-passing scheduling   Simultaneous 90% Random 60% Random 30% Random 50th CDF percentile 1.459 1.459 1.459 1.459.

Table 3 Percent gain in sum rate for the TAS problem in a seven-node network % Gain in sum rate over greedy   Message-passing scheduling   Simultaneous 90% Random 60% Random 30% Random 50th CDF percentile 2.465 2.465 2.465 2.465.

Table 7 Percent gain in sum rate for the beam selection problem in a seven-node network % Gain in sum rate over greedy   Message-passing scheduling   Simultaneous 90% Random 60% Random 30% Random 50th CDF percentile 24.683 24.683 24.683 24.683.

Table 9 Percent gain in sum rate for the beam selection problem in a 61-node network % Gain in sum rate over greedy   Message-passing scheduling   Simultaneous 90% Random 60% Random 30% Random 50th CDF percentile 21.449 21.449 21.449 21.449.

As observed in all the examples above, the gain in sum rate obtained by the proposed method over the greedy technique is independent of scheduling mode in terms of sum rate.

The models we propose are discrete, built upon common blocks in control engineering (gain, delay, sum, etc).