Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Gupta, R., Alam, M.A. and Agarwal, P. (2020) Modified Support Vector Machine for Detecting Stress Level Using EEG Signals. Computational Intelligence and Neuroscience ...

Peer support could help millions with sleep apnea slumber easier, study says Date: December 4, 2024 Source: University of Arizona Health Sciences Summary: Continuous positive airway pressure, or ...

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 ...

Sleep apnea is a common sleep breathing disorder (SBD) in which patients suffer from stopping or decreasing airflow to the lungs for more than 10 sec. Accurate detection of sleep apnea episodes is an ...

A support vector machine (SVM) classifier was used with linear and second-order polynomial kernels. For the minute classification, the respiratory features had the highest sensitivity while the oxygen ...

Five groups of different feature inputs are constructed based on the cumulative feature importance, and the original support vector machine regression (SVR) algorithm is applied to perform SOH ...