Sentence examples for sample decision from inspiring English sources

Suppose we have only two real contextual factors, f1 and f2. Figure 2 shows a sample decision tree and the regions represented by its terminal nodes.

Furthermore, the efficiency is illustrated by considering the efficiency relationship between the evaluated decision making unit and sample decision making units from constraint condition.

However, there is no guarantee that this accordance is held for overlapped regions such as the region R in Figure 2. Figure 2 Sample decision tree and regions represented by its terminal nodes.

Second, there are many sample decision making units, which are divided into several ordered sample standards in terms of production strategy, and the constraint condition consists of one of the sample standards.

To further examine the preferred correction method, we plotted sample decision curves with correction for overfit from a data set with 30 events.

In this model the use of intelligent decision support system called customized sampling decision support system (CSDSS) that can autonomously generate available customized sampling methods and provide the performance information of those methods to EC system is requisite.

The scheme includes five modules: the compressed sensing module (A 1 ), the multi-band joint detection module (A 2 ), the energy efficiency maximization module (A 3 ), the sparsity order and SNR estimation module (B 1 ), and the compressed sampling decision module (C 1 ).

Our model incorporates change detection into sequential-sampling decision models and is related to other, modified versions of these models that have been used to combine multiple sensory cues of different but known reliabilities or infer unknown sensory reliability assumed to be stable during the course of decision-making (Hanks et al., 2011; Deneve, 2012; Drugowitsch et al., 2014).

The data-driven grounded theory approach required theoretical sampling whereby sampling decisions could change as the study progressed, in order to test evolving theoretical constructs.

Discrepancies in prevalence rates may be attributable to measurement and sampling decisions.

Simulation studies can provide insights on the sensitivity of the mixture model to sampling decisions and characteristics of the stocks.