Tag Kernel Learning

In the world of machine learning, Gaussian processes (GP) hold a unique place due to their flexibility in modeling data distributions and uncertainty. However, one of the fundamental challenges in leveraging Gaussian processes effectively lies in selecting an appropriate kernel…. Continue Reading →