 | 2008 |
|---|
| 7 |       | Thorsten Suttorp,
Christian Igel:
Approximation of Gaussian process regression models after training.
ESANN 2008: 427-432 |
| 2007 |
|---|
| 6 | | Jan Salmen,
Thorsten Suttorp,
Johann Edelbrunner,
Christian Igel:
Evolutionary Optimization ofWavelet Feature Sets for Real-Time Pedestrian Classification.
HIS 2007: 222-227 |
| 5 | | Thorsten Suttorp,
Christian Igel:
Resilient Approximation of Kernel Classifiers.
ICANN (1) 2007: 139-148 |
| 2006 |
|---|
| 4 | | Christian Igel,
Thorsten Suttorp,
Nikolaus Hansen:
Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES.
EMO 2006: 171-185 |
| 3 | | Christian Igel,
Thorsten Suttorp,
Nikolaus Hansen:
A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies.
GECCO 2006: 453-460 |
| 2 | | Thorsten Suttorp,
Christian Igel:
Multi-Objective Optimization of Support Vector Machines.
Multi-Objective Machine Learning 2006: 199-220 |
| 2003 |
|---|
| 1 | | Jürgen Forster,
Niels Schmitt,
Hans-Ulrich Simon,
Thorsten Suttorp:
Estimating the Optimal Margins of Embeddings in Euclidean Half Spaces.
Machine Learning 51(3): 263-281 (2003) |
