Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...

He’s credited with coming up with the first support vector machine (SVM) algorithm. SVMs are widely used today for machine learning purposes.

In this paper, a novel hybrid approach integrating genetic algorithm (GA) and support vector machines (SVM) is proposed to conduct the key factor exploration tasks in the core competitiveness ...

Xiang Zhang, Yichao Wu, Lan Wang, Runze Li, Variable selection for support vector machines in moderately high dimensions, Journal of the Royal Statistical Society.

Support Vector Machines (SVMs) represent a robust and versatile class of machine learning algorithms that have significantly shaped the fields of pattern recognition, classification, and regression.

The Data Science doctor delves into supporting vector machines, software systems that can perform binary classification such as creating a model to predict the gender of a person based on their age, ...

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...