A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

Keerthi, S.S. (2002) Efficient Tuning of SVM Hyperparameters Using Radius/Margin Bound and Iterative Algorithms. IEEE Transactions on Neural Networks, 13, 1225-1229.

In this letter, the incorporation of recent results in reduced convex hulls (RCHs) to a nearest point algorithm (NPA) leads to an elegant and efficient solution to the SVM classification task, with ...

The Support Vector Machine (SVM) is particularly distinguished in classification algorithms for its precision and efficiency. It is characterized by its kernel trick capability and the absence of ...

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 ...

Keywords: genetic folding algorithm, evolutionary algorithms, lung cancer, classification, genetic programming, support vector machine Citation: Mezher MA, Altamimi A and Altamimi R (2022) A Genetic ...

Keywords: bit-fusion ensemble algorithm, classifier fusion, k-nearest neighbor, Multi-Layer Perceptron, Naïve Bayesian classifier, support vector machine Citation: Mishra S, Shaw K, Mishra D, Patil S, ...