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The algorithm, based on feature selection with tree-based ensemble methods, is simple and generic, making it adaptable to other types of genomic data and interactions.
To predict whether the reducing monosaccharide will be covalently linked to the central residue R0(Ser or Thr), a new method based on feature selection has been proposed in our work.
In the proposed model, a compound structure of extreme learning machine (ELM) based on feature selection and parameter optimization using hybrid backtracking search algorithm (HBSA) is employed as the predictor.
Among the systems involved with data and knowledge that give answers, solutions, or diagnoses, based on available information; those based on feature selection are very important since they allow us to solve important tasks into pattern recognition and decision making areas.
Classification algorithm should be based on feature selection to further improving its performance.
Our method is based on feature selection from an ensemble of linear L1-regularized SVMs.
Similar(53)
For feature selection, we proposed an ANMM method to additively optimize a nonparametric margin maximum criterion which was defined based on feature pre-selection and sample clustering.
We use the packaging method with fused features in the experiment on the four datasets based on Lasso feature selection, Elastic Net feature selection, Group Lasso channel selection, and Sparse Group Lasso channel and feature selection separately.
Utilizing the 177 subjects in the training dataset, we employed stepwise feature selection using linear discriminant analysis, in which RTA features were reiteratively added and removed from the group of selected features based on a feature selection criterion, that is, the Wilks' lambda [ 42, 43].
(a) Unlike most existing studies that are based on supervised feature selection, our study applies unsupervised feature selection.
Based on each feature selection measure we selected the top 50, 100, 200 and 300 features.
More suggestions(15)
based on feature level
based on path selection
based on feature mining
based on feature detection
based on feature engineering
based on feature face
based on feature set
based on feature modeling
based on feature intensity
based on relay selection
based on attractor selection
based on feature ranking
based on feature generation
based on feature information
based on feature functionality
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