The selected explanatory variables. حسب Seyed Iman Mohammadpour (13977640)

Summary of variables retained after the multi-step approach for selection. حسب Marlon E. Cobos (6169847)

Performance evaluation in terms of sensitivity, specificity, and AUC for all metabolite panels obtained different variable selection algorithms. حسب Ray Oliver Bahado-Singh (6612014)

Table2_Rock slope displacement prediction based on multi-source information fusion and SSA-DELM model.XLSX حسب Song Jiang (323831)

الموضوعات:

Table3_Rock slope displacement prediction based on multi-source information fusion and SSA-DELM model.XLS حسب Song Jiang (323831)

الموضوعات:

Table1_Rock slope displacement prediction based on multi-source information fusion and SSA-DELM model.XLS حسب Song Jiang (323831)

الموضوعات:

Bayesian Multi-task Variable Selection with an Application to Differential DAG Analysis حسب Guanxun Li (16895254)

"…We propose a novel order MCMC sampler where our multi-task variable selection algorithm is used to quickly evaluate the posterior probability of each ordering. …"

Spatial variables selected for LULC modeling. حسب Firdissa Sadeta Tiye (21222102)

Benchmarking of algorithms for unsupervised clustering of multi-omics data. حسب Polina Suter (11879717)

"…(A) <i>K</i> = 3, <i>n</i>_<i>c</i> = 100, <i>n</i>_<i>b</i> = 20, (B) <i>K</i> = 3, <i>n</i>_<i>c</i> = 100, <i>n</i>_<i>b</i> = 20, (C) <i>n</i>_<i>c</i> = 100, <i>n</i>_<i>b</i> = 20, , <i>K</i> ∈ {3, 5, 7, 9}; distance between centers set to medium (D) <i>K</i> = 3, <i>n</i>_<i>c</i> = 1000, <i>n</i>_<i>b</i> = 100, , algorithms were applied to the full data and a subset of data consisting of all binary nodes with non-zero standard deviation and 150 selected continuous nodes; distance between centers set to medium.…"

The basic process of feature selection of the random forest algorithm. حسب Jintao Li (448681)

Demographics, selected clinical variables and outcomes of the activation of coagulation and inflammation in trauma cohort. حسب S. Ariane Christie (6576845)

Supplementary file 1_Soil salinity inversion by combining multi-temporal Sentinel-2 images near the sampling period in coastal salinized farmland.docx حسب Chongxin Duan (20924405)

"…SS-related spectral variables derived from both single and combined-temporal images were selected using Random Forest (RF), ReliefF, and Support Vector Machine Recursive Feature Elimination algorithms (SVM-RFE). …"

Stability for the filter algorithms. حسب Miren Hayet-Otero (15285200)

"…In particular, feature selection techniques (FS), designed to reduce the dimensionality of data, allowed us to characterize which of our variables were the most useful for ML prognosis. …"

Stability for the embedded algorithms. حسب Miren Hayet-Otero (15285200)

"…In particular, feature selection techniques (FS), designed to reduce the dimensionality of data, allowed us to characterize which of our variables were the most useful for ML prognosis. …"

Stability for the wrapper algorithms. حسب Miren Hayet-Otero (15285200)

"…In particular, feature selection techniques (FS), designed to reduce the dimensionality of data, allowed us to characterize which of our variables were the most useful for ML prognosis. …"

Description of variables. حسب Sizhe Wang (6397556)

Individualized Multidirectional Variable Selection حسب Xiwei Tang (807045)

Table_1_Monitoring turbidity in a highly variable estuary using Sentinel 2-A/B for ecosystem management applications.docx حسب Masuma Chowdhury (16538556)

Image_1_Monitoring turbidity in a highly variable estuary using Sentinel 2-A/B for ecosystem management applications.tif حسب Masuma Chowdhury (16538556)

Image_2_Monitoring turbidity in a highly variable estuary using Sentinel 2-A/B for ecosystem management applications.tif حسب Masuma Chowdhury (16538556)