Sentence examples for select a feature from inspiring English sources

So, we should not only choose the top components, but employ feature selection methods to select a feature subset from the extracted components for classifiers.

You can scroll through these reviews or select a feature called Gambles, which picks an event or restaurant at random.

In component (B), users can select a feature to observe the correponding mutual information between the selected feature and the activity/identity types at all possible sampling rates.

The metafeatures built for this method are created to model the conditional distributions such that the mapping process will select a feature pair with similar conditional distributions as this implies they are more similar for classifying a label and thus should be mapped together.

However, when this area was first visited, by Mariner 10, this zero meridian was in darkness, so it was impossible to select a feature on the surface to define the exact position of the meridian.

The goal of mRMR is to select a feature subset that can best characterize the statistical property of a target classification variable, subject to the constraint that these features are mutually as dissimilar to each other as possible, but marginally as similar to the classification variable as possible.

On this basis, we develop a forward greedy feature selection algorithm for selecting a feature subset of minimized cost that preserves the same information as the whole feature set.

Decision Trees and CART (classification and regression trees) exemplify embedded feature selections; the process of selecting a feature to split at each node of the tree is implicitly a feature-selection step.

Yesterday, those tuning in might have selected a feature on what to do if "that sickly feeling" sets in as they are about to board a train (the advice: don't get on).

Based on this feature ranking, MFS selects a feature set (F_3={)Yaverageabsdif, Yperseven, Yvariance, Xaverageabsdif, Ypereight, Ystandarddev, Ypernine.

Otherwise, the method computes feature class and feature-feature mutual information and selects a feature that has maximum feature class mutual information but minimum feature-feature mutual information.