 | 2012 |
| 12 |  | Alexander Paprotny,
Jochen Garcke:
On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap.
Journal of Machine Learning Research - Proceedings Track 22: 859-867 (2012) |
| 2010 |
| 11 |  | Jochen Garcke:
Classification with Sums of Separable Functions.
ECML/PKDD (1) 2010: 458-473 |
| 2009 |
| 10 |  | Jochen Garcke,
Markus Hegland:
Fitting multidimensional data using gradient penalties and the sparse grid combination technique.
Computing 84(1-2): 1-25 (2009) |
| 9 |  | Gregory Beylkin,
Jochen Garcke,
Martin J. Mohlenkamp:
Multivariate Regression and Machine Learning with Sums of Separable Functions.
SIAM J. Scientific Computing 31(3): 1840-1857 (2009) |
| 2007 |
| 8 |  | Steffen Börm,
Jochen Garcke:
Approximating Gaussian Processes with H2-Matrices.
ECML 2007: 42-53 |
| 2006 |
| 7 |  | Jochen Garcke:
Regression with the optimised combination technique.
ICML 2006: 321-328 |
| 2004 |
| 6 |  | Jochen Garcke:
Maschinelles Lernen durch Funktionsrekonstruktion mit verallgemeinerten dünnen Gittern.
University of Bonn 2004: 1-140 |
| 2003 |
| 5 |  | Jochen Garcke,
Markus Hegland,
Ole Møller Nielsen:
Parallelisation of Sparse Grids for Large Scale Data Analysis.
International Conference on Computational Science 2003: 683-692 |
| 2002 |
| 4 |  | Jochen Garcke,
Michael Griebel:
Classification with sparse grids using simplicial basis functions.
Intell. Data Anal. 6(6): 483-502 (2002) |
| 2001 |
| 3 |  | Jochen Garcke,
Michael Griebel:
Data mining with sparse grids using simplicial basis functions.
KDD 2001: 87-96 |
| 2 |  | Jochen Garcke,
Michael Griebel:
On the Parallelization of the Sparse Grid Approach for Data Mining.
LSSC 2001: 22-32 |
| 1 |  | Jochen Garcke,
Michael Griebel,
M. Thess:
Data Mining with Sparse Grids.
Computing 67(3): 225-253 (2001) |