This paper presents a novel Random Forest (RF)-based feature-selection algorithm for PD pattern recognition of HV cables. The algorithm is applied to feature selection of both PD signals and ...

2017.8169893 keywords: {feature selection;optimisation;pattern classification;random processes;search problems;support vector machines;pseudobinary mutation neighbourhood search procedure;extended ...

As in SMAN 1 Tualang. This research classifies prospective PIP recipients using Feature Selection Chi Square and Information Gain with SVM and Random Forest Algorithms. There are 1112 students with 26 ...

Random forward search (Random_RSFS.java), Random ... Tian “A Multi-objective Genetic Local Search Algorithm for Optimal Feature Subset Selection”, 2016 International Conference on Computational ...

Of many algorithms, two popular choices have been Decision Trees and Random Forests for classification ... It is represented in a flowchart form, which makes the decisions by using the inputs as a ...

In the data pre-processing module, the acquired meteorological data are first subjected to data cleaning, followed by feature selection of the cleaned data using the random forest algorithm. During ...