Sentence examples for performance probability from inspiring English sources

In this paper, we investigate several fusion techniques for designing a composite classifier to improve the performance (probability of correct classification) of forward-looking infrared (FLIR) automatic target recognition (ATR).

In this contract, the pay-performance sensitivity around the standard increases (decreases) with the frequency with which performance is measured and with the kurtosis (volatility) parameter of the performance probability distribution.

To examine the association of gender stereotypes and cognitive performance, probability estimates of Item 10 (can imagine abstract objects and rotate them mentally in all direction) and Item 12 (can generate many words beginning with the same letter within 1  min) from the gender stereotype questionnaire that all participants completed at the end of the experiment were used.

In contrast, for various systems relevant in advanced technical applications, such as passive safety features in innovative reactor designs, it is essential to evaluate both functional and performance probabilities explicitly and combine the two probabilities later on.

The approach is to distinguish between functional and performance probabilities when dealing with the quantification of the overall probability of a system to perform a given function in a given period of time (reliability).

To further compare DEEP with LLL, SLLL, and VLLL, we have computed the quantities, i.e., ( log r DEEP − log r LLL ), ( log r DEEP − log r SLLL ), and ( log r DEEP − log r VLLL ), shown the cdf curves of these quantities in Figure 16 and summarized their performance probabilities in row r(B) of Table 5.

For the M C model, the hypothesis of uncorrelated friction angle and cohesion will generate higher non-performance probability in comparison to the case of negatively correlated shear strength parameters.

A two tailed t-test was also applied within a linear regression analysis to determine whether the slope of each performance-probability relationship was detectably different from zero.

Pearson's product-moment coefficient (PPMC) was used as an indicator of the sign and strength of any performance-probability density relationships.

These two thresholds control three main performance metrics: probability of detection, probability of false alarm, and the average number of FWT operations.

However, some of the performance metrics (probability of detection - P d and probability of false alarm - P fa ) may be calculated only when the signal to be detected, i.e., a wireless microphone, is effectively present during the experiment.