Feature Selection via Independent Domination
Feature or variable selection is a fundamental problem in data analysis and statistical
modeling. Classic methods resulting in dimensionality reduction are diverse and include …
modeling. Classic methods resulting in dimensionality reduction are diverse and include …
Social-Inspired Multicast Feature Selections with Mobile Edge Computing
The emergence of AI has shifted the focus of wireless communications towards deep
semantic-level fidelity (ie, semantic communication networks), emphasizing the significance …
semantic-level fidelity (ie, semantic communication networks), emphasizing the significance …
Evolutionary Algorithms' Feature Selection Stability Improvement System
Y Liu, X Diao, J Cao, L Zhang - … Conference, BIC-TA 2017, Harbin, China …, 2017 - Springer
In order to improve the feature selection stability based on evolutionary algorithms, an
evolutionary algorithms' feature selection stability improvement system is proposed. Three …
evolutionary algorithms' feature selection stability improvement system is proposed. Three …
Feature Selection via Weighted Independent Domination
FN Abu-Khzam, JR Barr, MR Benabid… - 2024 Conference on …, 2024 - ieeexplore.ieee.org
Many molecular biology data sets contain thousands of features, such as single-cell genes
or omnic data. Standard predictive models perform poorly on such models because of the …
or omnic data. Standard predictive models perform poorly on such models because of the …
Integer Linear Programming Models and Greedy Heuristic for the Minimum Weighted Independent Dominating Set Problem
S Kapunac - Serdica Journal of Computing, 2023 - serdica-comp.math.bas.bg
This paper explores the Minimum Weighted Independent Dominating Set Problem and
proposes novel approaches to tackle it. Namely, two integer linear programming …
proposes novel approaches to tackle it. Namely, two integer linear programming …