Browsing: uncertainty estimates

Gaussian Process Kernels are covariance functions used in Gaussian processes to measure the relationships among data points, providing uncertainty estimates and confidence ratings for…

Researchers have introduced a new approach to improve uncertainty estimates in machine-learning models, making them more accurate and efficient. This technique could help end…