Sentence examples for select a relevant from inspiring English sources

Second, we used feature selection to select a relevant combination of features for the given data partition.

To support outlier-based network anomaly identification, we use the following modules: a mutual information and generalized entropy based feature selection technique to select a relevant non-redundant subset of features, a tree-based clustering technique to generate a set of reference points and an outlier score function to rank incoming network traffic to identify anomalies.

We use orientation imaging scanning electron microscopy to select a relevant number of grains with appropriate sizes and surface normals parallel to 〈0 0 1〉, 〈1 0 1〉 and 〈1 1 1〉.

The average-nitrogen nuclear subsystem makes it possible to select a relevant basis for transformation into the numbers of filling representation in the form of wave functions of the single-electronic nitrogen ion (having the charge number z = 7).

In low-income countries, such as Laos, however, alternative ways are to be identified in order to select a relevant sample for a survey.

These methods often might fail to specify how to identify and select a relevant theory [ 8] or what method to apply to analyse data or evidence that do not fit into an a priori framework [ 9- 13].

In the feature subset selection problem, a learning algorithm is faced with the problem of selecting a relevant subset of features upon which to focus its attention, while ignoring the rest.

Open image in new window Fig. 10 Selecting a relevant subset of subspaces which contain only patients of a positive vaccination outcome.

The results demonstrated that even when completing the same task, participants from different backgrounds have different tendencies in expecting and selecting a relevant image.

With project aims of finding cultural worlds and transitory relationships of infant-toddlers in mind, researchers had selected a relevant video clip to act as prompt for initiating reflective interview responses.

In the following, we describe the methodology used for collecting crisis-related tweets, selecting a relevant subset of those, and letting human annotators tag them in order to be used for machine learning purposes.