Sentence examples for maximized sum of from inspiring English sources

From the maximized sum of the logarithm of the likelihood and the number of parameters, the Bayesian information criterion (BIC) was calculated for each model (Upton and Cook 2005).

The cutoff value was chosen from the maximized sum of sensitivity and specificity.

Simulation results show the effectiveness of the proposed OIPPS algorithm in terms of the convergence of precoding and power allocation vectors and the maximized sum utility of SUs while taking full consideration of the PU's revenue.

The maximized sum throughput of the two PUs' sessions is obtained as 27.54 bits/s/Hz.

The maximized sum throughput of the PUs' sessions is obtained as 28.15 bits/s/Hz.

Based on placebo patients (n = 840), an 'optimal' cut-off was generated that maximized the sum of sensitivity and specificity (with each required to be at least 40%) to predict 28-day mortality.

In Figure 10, we compare the maximized sum-rate (R^{text {OFDM}}_{text {sum}}) achieved by 'Algorithm IP' with (R^{text {Ex}}_{text {sum}}) achieved by the exhaustive search-based algorithm for K=4 and ten given channel realizations.

We used a beta distribution prior on leak rate, letting the maximized model log probability for each subject be based on the sum of log likelihoods and this log prior probability, similar to what we did for the triangles task.

An absolute value of difference between the gained profit in the current configuration j and the possible maximized value of the profit for player i. Cost (objective) function (sum of the differences between amounts of profit obtained in the current configuration (joint strategy:(vec{u})) with the maximal possible amount of profit for each producer.

If law makes a presumed sum of existing individual preferences bigger, it can be "efficient," without analysis of whether that maximized "pie" is actually toxic or temporary or totally controlled by the top one-tenth of one percent of wealth holders.

A cutoff value of the probability that maximized sensitivity and specificity was 0.17, this corresponds to a cutoff value of >104 in the risk score for low IQ (sum of the weights of each predictor).