Efficient Regression for Big Data Problems using Adaptive Sparse Grids

The amount of available data increases rapidly. This trend, often related to as Big Data challenges modern data mining algorithms, requiring new methods that can cope with very large, multi-variate regression problems. A promising approach that can tackle non-linear, higher-dimensional problems is regression using sparse grids. Sparse grids use a multiscale… CONTINUE READING