Sentence examples for model threshold from inspiring English sources

According to the proposed model, threshold curves in the price time reservation space are generated by neural networks based on historical data or management expertise.

Besides global analysis of the deterministic model, threshold conditions between extinction and persistence in mean for the stochastic system are obtained where noises play an important role in persistence and extinction of tumor cells.

Based upon NAND flash memory erase and programming characteristics, we derive mathematical formulations to approximately model threshold voltage distribution of memory cells in the presence of various major NAND flash memory device noise and distortion sources.

Fig. 2 System model Threshold estimation: To be able to identify whether or not an indicator of a cell is degraded, the normal performance of the cell should be characterized to determine the reference conditions.

Table 3 Details of four methods under proposed framework Method Underlying model Threshold Method I Naive Adaptive Method II Seasonal naive Adaptive Xie's method Vanilla Fixed Proposed method Dynamic regression Adaptive.

A pair of nodes with weights (w, w') and Euclidean distance r are connected if and only if: begin{aligned} (w + w') cdot h(r) ge theta, end{aligned} (1 where (theta ) is the model threshold parameter and h(r) is the distance function that is assumed to decrease in r.

For each SVM model, threshold-independent performance was measured by plotting ROC curve between TP rate (sensitivity) and FP rate (1-specificity) values.

A diverged sequence with a conserved structure will rarely pass the model thresholds, explaining the lack of generalization.

With the exception of wavelet model thresholds, all alarm thresholds were calculated using the six years of visit data immediately preceding the prediction day.

As explained before, recall that the percentage of included data is a mere result of an underlying distance-to-model threshold measure.

The risk-model (threshold = 0.30) stratified the training cohort (de Tayrac dataset) [ 2] into 2 groups with a significant difference in OS (p = 4.0E-13 4.0E-13