Sentence examples for expression accuracy from inspiring English sources
Note that in this paper, the average precision was evaluated on the root mean square (RMS) of each expression accuracy, namely, average (=sqrt {sum _{i=1}^{L}{p_{i}^{2}}/L}) (p i denotes the accuracy of ith expression, and L is the total of expressional categories).
The direction of the effect size was negative if the performance of the patient group in discrimination of facial expression accuracy was worse than the control group.
The expression is evaluated in three different measures: transcript expression accuracy (Theta), transcript within-gene relative proportion accuracy (WGE-True) and inter-replicate consistency (WGE-Inter).
The results are presented in Table 2. MMSEQ provides the best absolute expression accuracy with BitSeq and RSEM showing almost equally good results.
The use of this masking threshold significantly improved sensitivity (the number of expressed genes detected) while maintaining a high level of accuracy of measuring differential gene expression (accuracy of fold-difference detection).
Two blind judges then assessed language learners' oral proficiency taking into account fluency, range of expression, and accuracy.
Fig. 7 Demonstration of object recognition, scene classification, event classification, and expression recognition accuracy using different thresholds.
In contrast, short first exons lead to increased H3K4me3 and H3K9ac at promoters, higher expression levels, accuracy in TSS usage, and a lower frequency of antisense transcription.
In one of these studies, Boers et al. (2006) investigated the effect of mastery of formulaic sequences on language learners' fluency, range of expression, and accuracy in the language to be learned.
After some transformations, one can obtain a standard expression (with accuracy of notations of parameters and axes) [1 5]: ( varDelta {E}_{pm }=pm {M}_asqrt{1+4{ cos}^2left({p}_x/2right)+4 cos left({p}_x/2right) cos left(3{p}_y/2right)} ), where ΔE ±≡ℏω ± − D.
In [12], after extracting the most discriminative LBP (called boosted-LBP) features, they used SVM and separately obtained 7-class facial expression recognition accuracy of 79.8, 79.8, and 81.0% with linear, polynomial, and radial basis function (RBF) kernels.
