Sentence examples for by removing each data from inspiring English sources

A total of 14 datasets for cross-validation were formed by removing each data point once from the full observed prevalence data set.

Sensitivity analyses were conducted to check for the robustness of the data by removing each study one by one, excluding lower quality studies (Oxford score <4), excluding studies not using or not mentioning the use of a stylet in the control group, and excluding studies using immobilization techniques other than MILS.

The algorithms are designed to: (i) organize the data output from multiple instruments into a common format; (ii) present the data in a variety of interactive figures for visualization and assessment; (iii) clean the data by removing data spikes and noise; and (iv) classify data quality.

Previous privacy protection methods on structured data have focused on anonymizing the data by removing data points until individuals are statistically indistinguishable [ 12].

We also tested the sensitivity of the LR results to any one particular species by removing data for each species and repeating LR analyses.

We then narrow the search findings to a selected mRNA data set by removing the expression data of those mRNAs which do not belong to the predicted target mRNAs from the original mRNA data set.

The first stage of data preparation includes data collection, data cleaning by removing unwanted data, and appropriate molecular representation of underlying chemical compounds.

This avoids the data collision increasing the message delivery to the sink and increase the network lifetime by removing redundant data transmission.

For one thing, because G.lite DSL reduces network congestion by removing heavy data traffic from switched-circuit phone networks, phone companies can expect serious revenues from its deployment.

Dimensionality reduction (DR) techniques are often used to reduce the size of the feature set by removing redundant data, greatly improving efficiency without reducing accuracy.

Thus, we also analysed results from a baseline-matched subset (Figure 2B), created by removing the data of the 5 children with the lowest and 5 adults with the highest misaligned scores.