Sentence examples for method we selected from inspiring English sources
By bootstrapping method, we selected out 267 candidate genes (Additional file 1: Table S1), from which we got 35 dysregulated genes involved in eight dysregulated pathways (Table 2).
For each training method, we selected the hyperparameters having the best performance on the hold-out set.
To evaluate the performance of the proposed feature extraction method, we selected two iris databases, namely, CASIA Version 1 [39] and UBIRIS [40].
In our proposed EMFFS method, we selected 13 features out of available 41 features by first presenting the output of one-third split using four filter methods.
To determine whether RNA silencing can be initiated in agro-infected rice leaves by our method, we selected two endogenous gene targets namely Phytoene Desaturase (OsPDS) and SLENDER 1 (orSLR1 OsGAIGaI, a rice ortholog of the height-regulating gene GAI/RGA/RHT/D8) because of their well-documented loss-of function phenotype.
For univariate method, we selected the commonly used method QTDT proposed by Abecasis et al. [23], and the univariate score test proposed by us previously [18].
By using a trial-and-error method, we select F t) = e-tand then, (1) holds.
In order to give a quantitative analysis of the proposed classification method, we select 1330 test samples of the five classes, respectively, to test the classification method.
For testing the performance of the proposed method, we select six test sequences from the database http://sp.cs.tut.fi/mobile3dtv/stereo-video/ and add Gaussian noise to them.
In order to verify the effectiveness of the proposed re-ranking method, we select 4 state-of-the-art person re-identification methods: SDALF [6], MidFilter [32], Query Adaptive late Fusion (QAF) [33], and SDC(_{knn}) [30] for experiments.
Therefore, we partition the customers by using the regular sub-sequences (mathcal{R}_{c}) with k-medoids clustering algorithm [32] varying (k in [2, 80]), and with the knee method we select (k = 33) clusters.
