Sentence examples for data was discriminated from inspiring English sources

Single-unit data was discriminated offline (Offline Sorter; Plexon, Inc.; Dallas, TX) and mean firing rates in each neuron were assessed for each eye and stimulus presentation as described previously [8].

When TME was performed on the left side, postsurgical ASL data could be discriminated from the pain-free follow-up session (Fig. 1a) with 85% accuracy (P < 0.001); and for the right side classification accuracy was 93% (P < 0.001).

The self-taught and compression capabilities of deep learning architectures are key mechanisms for hidden pattern discovery from the training data so that attacks are discriminated from benign traffic.

Only smaller (6 10 bp) homopolymer loci analyzed for mutation here yielded clean chromatogram data where the presence of predominantly fixed changes (clean sequences data continue after homopolymer) could be discriminated from those still in a heteroplasmic state (stutter sequences clearly present after homopolymer).

Applying Principal Component Analysis (PCA) separately on the respective e-Nose and e-Tongue data, only few distinct groups were discriminated.

The data indicate that rotated words were discriminated from pseudowords within the ventral visual pathways (suggesting an invariant representation of words as perceptual objects), while there was a lack of explicit or attentive lexical access at later processing stages and more anterior brain areas.

Results showed that the five Brazilian sugarcane varieties were discriminated using EO-1 Hyperion data.

This algorithm consists of integer programming (IP) and mixed integer linear programming (MILP) based components, and the data points belonging to different classes are discriminated by hyper-boxes.

Discriminant factor analysis is a linear, supervised pattern recognition method that effectively reduces the multidimensional experimental data, in which the classes to be discriminated are defined before the analysis is performed.

Discriminant factor analysis is a linear, supervised pattern recognition method for reducing the multidimensional experimental data, in which the classes to be discriminated are defined before the analysis is performed.

Then, the number of unique sequences was divided by the number of species included in the dataset to obtain an estimate of the maximum percentage of species that could be discriminated by the data.