This study provides valuable and novel insight into the particle representation of the PSO-based feature selection problem.
This study provides valuable and novel insight into the particle representation of the PSO-based feature selection problem.
Explicit and size-adaptive PSO-based feature selection for classification ... Tran, A PSO based hybrid feature selection algorithm for high-dimensional ...
The proposed algorithm is examined and compared with two conventional feature selection algorithms and two existing PSO based algorithms on eight benchmark ...
People also ask
What are the methods for feature selection text classification?
What are the feature selection techniques for image classification?
What is feature selection in classification?
What is feature selection using neighborhood component analysis for classification?
Aug 9, 2022 · These features are fed to the proposed AAPSO- based feature selection algorithm to remove redundant and non-informative features, and thus a ...
Feature selection is a pre-processing technique in which a subset or a small number of features, which are relevant and non-redundant, are selected for better ...
ESAPSO. 介绍. offical code of "Explicit and size-adaptive PSO-based feature selection for classification". Due to the fact that I am currently in a hurry ...
This paper proposes a Self-Inertia Weight Adaptive Particle Swarm Optimization (SIW-APSO) based FS methodology to enhance the performance of text classification ...
Jul 2, 2018 · In this work, we propose a new feature-based transfer learning method using particle swarm optimization (PSO), where a new fitness function is ...
Missing: Explicit size-
Feature selection (FS) is a data preprocessing technique in machine learning and data mining that has been applied to improve the performance of edge computing ...
Missing: Explicit | Show results with:Explicit