Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids

15 Oct 2018Bastian BohnMichael GriebelJens Oettershagen

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 discretizations of larger (kernel) model classes lead to algorithms, which naturally scale linearly in the amount of data points... (read more)

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