Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...
1 School of Information and Intelligent Engineering, Nantong College of Science and Technology, Nantong, China 2 Faculty of Social, Business and Computer Sciences, Varna Free University, Varna, ...
Abstract: In this paper the two-level intellectual classifier based on the SVM algorithm has been offered. This classifier works as the group of the SVM classifiers at the first level and as the final ...
Abstract: To solve the problem of low prediction accuracy of SVM algorithm, this paper proposes a prediction model research method based on PSO-SVM kernel function hybrid algorithm, designs global and ...
A custom implementation of the SVM regression/binary-classification algorithm for Linear, RBF, Polynomial and Sigmoid Curves with AI assistance Classification problem with 2 categories, comparison ...
This repository presents a sentiment analysis project focused on analyzing Amazon reviews using the Support Vector Machine (SVM) algorithm. The project aims to classify the sentiment of Amazon reviews ...