Hi everyone. I am trying to learn the theoretical basis of High Dimensional Model Representation (HDMR) approach and use it in a machine learning problem. However, the references describing the theory look very complicated to me. Does anyone know a reference describing the theory basics in a simple manner with examples, etc.? I'd be thankful if I receive some directions.