Abstract: To address the problems of low classification accuracy, redundancy of feature subsets, and performance susceptibility to parameters in wrapper-based feature selection in traditional Support ...

a method based on the least square support vector machine (LS-SVM) optimized by improved artificial fish swarm algorithm (IAFSA) is proposed to obtain accurate satellite clock errors. The dynamic ...

The predictive model also incorporates an improved fruit fly optimization algorithm (IFOA) in conjunction with support vector machine (SVM) techniques. The actual instances of lost circulation serve ...

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional ...

This repository explores the differences between traditional computer vision methods and deep learning techniques using the CIFAR-10 dataset. Join us in this analysis to see how each approach performs ...