Interpretability of Support Vector Machine (SVM) or Neural Networks (NN) models, examples of black-box models, is a field of study that has recently gained attention, especially for the significant ...

Department of Chemistry, University of Washington, Seattle, Washington 98195-1700, United States ...

Support vector regression (SVR) and computational fluid dynamics (CFD) techniques are applied to predict the performance of an automotive torque converter in the design process of turbine geometry. A ...

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 ...

Department of Computer Science, School of Engineering & Computer Science, Baylor University, Waco, USA. Department of Electrical & Computer Engineering, Autonomous University of Ciudad Juárez, Ciudad ...

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 ...

Abstract: Support Vector Regression (SVR) is a crucial tool for modeling complex relationships in power systems and is widely applied to tasks like demand and load forecasting. SVR, rooted in ...

Prior to joining Dinsmore in January of 2024, I was the co-managing partner of the Houston office of Lewis Brisbois. I was there for over 17 years—my entire legal career. How would you describe your ...

1 New Smart City High-Quality Power Supply Joint Laboratory of China Southern Power Grid, Shenzhen Power Supply Co., Ltd., Shenzhen, Guangdong, China 2 College of Electrical and Information ...