Sentence examples for subset selection from inspiring English sources

In this paper, we propose and study a generalized subset selection procedure for selecting the best population.

In order to select a smaller number of features a subset selection algorithm is proposed.

Feature subset selection is known to be NP-hard.

Hydrolysis parameters were optimized using response surface and subset selection.

Further, a new feature subset selection (FSS) algorithm is proposed.

We compare the wrapper approach to induction without feature subset selection and to Relief, a filter approach to feature subset selection.

A new method for Feature Subset Selection in machine learning, FSS-EBNA (Feature Subset Selection by Estimation of Bayesian Network Algorithm), is presented.

A hybrid approach is proposed for parameter subset selection and estimation.

This interactive tool provides visualization, subset, selection, and analysis capabilities.

We explore the relation between optimal feature subset selection and relevance.

The two most popular groups of subset selection methods are uniform designs and cluster-based designs.