Home
About
Advanced Search
Browse by Discipline
Scientific Societies
E-print Alerts
Add E-prints
FAQ
•
HELP
•
SITE MAP
•
CONTACT US
Search
Advanced Search
Garcke, Jochen - Institut für Mathematik, Technische Universität Berlin
MULTIVARIATE REGRESSION AND MACHINE LEARNING WITH SUMS OF SEPARABLE FUNCTIONS.
Approximating Gaussian Processes Steffen Borm1
Regression with the Optimised Combination Technique Jochen Garcke jochen.garcke@anu.edu.au
Proceedings in Applied Mathematics and Mechanics, 22 November 2007 An Optimised Sparse Grid Combination Technique for Eigenproblems
Fitting multidimensional data using gradient penalties and combination techniques
Semi-supervised learning with sparse grids Jochen Garcke jochen.garcke@anu.edu.au
A dimension adaptive sparse grid combination technique for machine learning
PARALLELISATION OF SPARSE GRIDS FOR LARGE SCALE DATA ANALYSIS
Fitting multidimensional data using gradient penalties and the sparse grid combination technique
In Zusammenarbeit mit der prudsys AG bieten wir die Moglichkeit zu einem Praktikum mit starken Bezugen zur numerischen Mathematik an.
The combination technique and some generalisations
Sparse Grid Tutorial Jochen Garcke
On the numerical solution of the chemical master equation with sums of rank one tensors
