Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical changes and corrosion. The framework enables more accurate, data-driven ...

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 ...

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 ...

Chao Chen, Xingyuan Zhang, Research on laser ultrasonic surface defect identification based on a support vector machine, Science Progress (1933-), Vol. 104, No. 4 (2021), pp. 1-17 ...

Abstract: In this study, support vector regression (SVR) model is used as the main method to predict rice yield. We integrate the climate data and agricultural output dataset in Taiwan from 1995 to ...

Bias-corrected approximate 100(1-α)% pointwise and simultaneous confidence and prediction intervals for least squares support vector machines are proposed. A simple way of determining the bias without ...