Bastian Bohn; Michael Griebel; Jens Oettershagen (2018-02)
For low-dimensional data sets with a large amount of data points, standard kernel methods are usually not feasible for regression anymore. Besides simple linear models or involved heuristic deep learning models, grid-based ...