Sentence examples for update decision from inspiring English sources

DCA also considers traffic rate into its duty cycle update decision.

Inferences during streams of trials are continuously monitored through sensory experience and evaluation, and may then be used to update decision criteria for subsequent task performance.

Due to the condition imposed for a pixel to remain classified as static in a long-term basis, the system can be interactively corrected by an operator without need for the system to modify anything in the background models, what alleviates the system from persistent false classification originated by incorrect update decisions in contrast to selective updating-based systems.

This is a huge advantage of our system in comparison to other systems based on selectively updating the background model, not only because we avoid wrong update decisions but also because the system provides the possibility of incorporating interactive corrections with no need of modifying the background model.

The disadvantage of this approach is that incorrect update decisions might later result in incorrect detection and that the uncovered background could be detected as foreground after removing static objects even if those do not get absorbed by the long-term model if the lighting conditions have changed notably.

A conceptual updating framework[6] and evidence-based update decision-making tools are needed to guide this process.

For any sensor detection event Z i, we start by calculating the expected value μ i and variance σ i 2 of the updated decision.

The diagnostic test characteristics of the updated decision tree are shown in Table 2.

The updated decision tree is shown in Figure 2. Maximum accuracy was achieved with three of the same stratification biomarkers (CCL3, HSPA1B, and IL8), while the importance of ELA2 and LCN2 were superseded by GZMB and MMP8.

Figure 2 Decision Fusion Architecture for the Hybrid Sensor Network with Fusion Center updating Decisions over Time.

Figure 5 Decision Fusion Architecture for the Hybrid Sensor Network with Nodes Updating Decisions over Time.