Regression with the Optimised Combination Technique
We consider the sparse grid combination technique for regression, which we regard as a problem of function reconstruction in some given function space. We use a regularised least squares approach, discretised by sparse grids and solved using the so-called combination technique, where a certain sequence of conventional grids is employed. The sparse grid solution is then obtained by addition of the partial solutions with combination coefficients dependent on the involved grids. This approach...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of 23rd International Conference of Machine Learning|
|01_Garcke_Regression_with_the_Optimised_2006.pdf||256.03 kB||Adobe PDF||Request a copy|
|02_Garcke_Regression_with_the_Optimised_2006.pdf||289.24 kB||Adobe PDF||Request a copy|
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