Sentence examples for conduct feature selection from inspiring English sources

First, we conduct feature selection for the source project and get the distribution curves of selected features.

Recently, several research works conduct feature selection directly under a multi-label framework by implicitly or explicitly modeling label relationship.

For example, Miranda et al. add a regularization term that penalizes the size of the selected feature subset to the standard cost function of SVM, thereby optimizing the new objective function to conduct feature selection [68].

Then we embed these two kinds of relations into a multi-task learning framework (i.e., a least square loss function plus an l2-norm regularization term) to conduct feature selection.

Based on gSide as defined above, the optimization problem in Eq. (4) can be written as {mathcal{T}}^*= mathop {text {argmin}}limits_{ {mathcal{T}}subseteq{mathcal{S}}}sum _{g_i in {mathcal{T}}}q(g_i) quad {text{s.t.}},|{mathcal{T}}|le k (12 The optimal solution to the problem in Eq. (12) can be found by using gSide to conduct feature selection on a set of subgraph patterns in ({mathcal{S}}).

We designed a wrapper approach to conduct feature selection for our dataset.

We have conducted feature selection experiments for all aforementioned classifiers.

Conventional feature selection approaches in vector spaces usually assume that a set of features are given before conducting feature selection.

Moreover, few studies have conducted feature selection before training a forecast model, which is a significant pre-processing operation of data mining and widely applied for knowledge discovery in expert and intelligent system.

Specifically, the proposed method first uses a feature-level self-representation loss function to sparsely represent each feature by other features, and then employs an ℓ2,p-norm regularization term to yield row-sparsity on the coefficient matrix for conducting feature selection.

Since the number of features in this study is high, we conducted feature selection to decrease the size of the features by omitting the non-effective features.