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Using the feature selection methods previously discussed, we can select K of the M sensor locations.
For each value of k, we compute accuracy using the feature selection algorithm.
This involved randomizing the labels in the training set, then running our entire cross-validation process using the feature selection and LASSO processes.
Instead of using the feature selection method [ 9], the SVM-LZ complexity pairwise algorithm is proposed to predict those remaining unpredictable sequences.
When the same prediction was performed using the feature selection P value of 0.01, the prediction result remained the same (Table 4).
Two years later, another method in this area was presented by Hu et al. [ 22] using the feature selection approach and nearest neighbor algorithm.
Similar(50)
Then, we use the feature selection method to select the feature words that can symbolize the text categories, and merge the synonym to reduce dimensions.
To select terms for a given class, we use the feature selection algorithm in Figure 13.6 : We compute the utility measure as and select the terms with the largest values.
Another goal may be to use the feature selection as an aid in further discovery and learning about a particular biological process.
We have employed several versions of our algorithms and the details are summarized below: In this algorithm [Please see Algorithm ??], we have used the feature selection algorithm to identify some of the best SNPs that can together identify two groups.
Further, a set of features that contribute to the prediction model is identified using the feature-selection approach explained in 'Feature selection' section.
More suggestions(15)
using the template selection
using the Kish selection
using the covariate selection
using the feature tracking
using the order selection
using the stepwise selection
using the double selection
using the channel selection
using the hybrid selection
using the feature subset
using the feature level
using the color selection
using the tournament selection
using the polygon selection
using the neomycin selection
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com