Sentence examples for the stage threshold from inspiring English sources

where is the stage threshold, is the weak classifier's weight, and is the total number of weak classifiers (features).

Figure 1 shows the values of the cumulative hypergeometric probability for the COL11A1 gene using the TCGA ovarian cancer data set and the staging threshold for the definition of the binary phenotype set between IIIb and IIIc.

The likelihood ratio test for the first stage threshold estimate is: F 1 = S 0 - S 1 ( γ ̂ 1 ) σ ̂ 2 (6).

It is important to note that at this stage thresholding is necessary for the opponent because the industrial printers can only print dots, e.g., binary versions of the scanned code.

The effect of these differences on standard diagnostic and treatment target thresholds will be evaluated (ie 140/90 mm Hg for clinic readings and 135/8 5mm Hg for out of office measurement at the stage 1 threshold and the equivalents at the stage 2 threshold).

So if the impression that's left is that you have crossed the stage, the threshold, rather than, 'You have made it halfway through the trajectory to college,' then we risk those kids walking away from the ceremony thinking they have accomplished something — when they haven't".

Nonetheless, the strength of association based on all available data (P=8.8 × 10−5) remains significant after a conservative multiple testing correction that accounts for the number of stages of data accumulation and also for the total number of SNPs that could have been followed through these stages (threshold P≤4.6 × 10−4).

The power was calculated based on the probability of passing both the 1st-stage p-value threshold (<5×10−5) and the 2nd-stage threshold (<0.0008 or 0.05/63 by Bonferroni correction) given the effect size.

Likewise, extending the first-stage threshold would have resulted in more false positives being considered in the second stage and higher risks of overparameterization.

The stage I thresholds vary more in some cases.

Assuming the first threshold is given, the optimal second-stage threshold estimate is found by minimizing the residual sum of squares for Equation 7. The likelihood ratio test of one versus two thresholds is be based on the statistic: F 2 = S 1 ( γ ̂ 1 ) - S 2 ( γ ̂ 2 ) σ ̂ 2 (8).