GAUSSIAN PROCESS

Environmental science often deals with messy data. Small, varied data sets make it hard to build reliable models. Traditional machine learning methods often fail here. They fit the training data too well but perform poorly in real-world tests. Enter GP-BT. It's a new method designed to tackle these

Tracking how fast organisms travel and spread, especially when it comes to health-threatening pathogens like the West Nile virus, can be tricky. The models we currently rely on often fall short. For example, the popular Brownian trajectory model doesn't even use the idea of instantaneous speed. To f