Machine learning (ML) techniques have become powerful tools in both industrial and academic settings. Their ability to facilitate analysis of complex data and generation of predictive insights is ...

Abstract: Support vector machine (SVM) is a fundamental machine learning method with solid mathematical theory and high effectiveness in many applications. Because distributed datasets are difficult ...

In traditional machine learning algorithms, features such as color and texture are extracted from RGB and multispectral images processed using different algorithms such as Nearest Neighbor, Random ...

Machine learning (ML) algorithms can accurately extract quantitative patterns from datasets without requiring prior knowledge, playing an increasingly crucial role in tasks such as information ...

In this work, a support vector machines based multi-dividing ontology learning algorithm is proposed. We pay attention to the similarity of topological indices in chemical graph theory, and apply ...