StructGP

New Gaussian Process Model Enhances Interpretable Clinical Time Series Forecasting

Researchers have developed StructGP, a novel Gaussian process model designed for interpretable forecasting in clinical time series. This model couples process convolutions with differentiable structure learning to uncov…