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 ...

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 ...

The Support Vector Machine (SVM) is a supervised learning algorithm used primarily for binary classification tasks. SVM aims to find the optimal hyperplane that separates data points of different ...

Abstract: To optimize node energy consumption and improve its security, this paper uses the DEEC algorithm to layer WSN and reduce the probability of channel information collision and uses the ...

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 ...

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, ...