Sentence examples for based on feature ranking from inspiring English sources

In this paper, we propose a simple method based on feature ranking algorithms which has low computational complexity (O(n2), where n is the number of variables) and produces good results.

The search based on feature ranking had consistently lower performance than the best-first searches.

In general, selected sets may not overlap, but in most commonly used feature selection methods, based on feature ranking or backward/forward searching, feature subsets satisfy the relation (1) Ω 1 ⊂ Ω 2 ⊂ … ⊂ Ω N Let r j (i) be a number of subsets Ω i, i=1,2,…, N where the gene j belongs to.

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

Based on the features ranked by mRMR, we used incremental feature selection (IFS) [ 21, 28, 39, 40] to determine the optimal number of features.

This study explores the use of the searcher's relevance feedback judgments to support relevance ranking based on features more general than recency.

Based on the ranked feature list according to the relevance to the class evaluated by SU, the incremental feature selection (IFS), one of the well-known searching strategies of feature selection, is employed to determine the optimal features.

Based on the ranked features obtained from the mRMR, 128 feature sets were constructed by adding one component to the set at a time in the order of mRMR features list.

In order to get good features for identifying driver mutations, 126 train datasets are built according to IFS [ 39, 40] approach based on the ranked features obtained by the DX method and mRMR method, respectively.

This technique is a filter-based feature ranking approach and based on the concept of entropy.

Based on the 500 ranked features in the mRMR feature list, we built 500 feature sets according to Eq. (4).