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Thorsten Suttorp
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2000 – 2009
- 2009
- [j2]Thorsten Suttorp, Nikolaus Hansen
, Christian Igel:
Efficient covariance matrix update for variable metric evolution strategies. Mach. Learn. 75(2): 167-197 (2009) - 2008
- [c6]Thorsten Suttorp, Christian Igel:
Approximation of Gaussian process regression models after training. ESANN 2008: 427-432 - 2007
- [c5]Christian Igel, Thorsten Suttorp, Nikolaus Hansen:
Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES. EMO 2007: 171-185 - [c4]Jan Salmen, Thorsten Suttorp, Johann Edelbrunner, Christian Igel:
Evolutionary Optimization ofWavelet Feature Sets for Real-Time Pedestrian Classification. HIS 2007: 222-227 - [c3]Thorsten Suttorp, Christian Igel:
Resilient Approximation of Kernel Classifiers. ICANN (1) 2007: 139-148 - 2006
- [c2]Christian Igel, Thorsten Suttorp, Nikolaus Hansen:
A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies. GECCO 2006: 453-460 - [c1]Thorsten Suttorp, Thomas Bücher:
Robust vanishing point estimation for driver assistance. ITSC 2006: 1550-1555 - [p1]Thorsten Suttorp, Christian Igel:
Multi-Objective Optimization of Support Vector Machines. Multi-Objective Machine Learning 2006: 199-220 - 2003
- [j1]Jürgen Forster, Niels Schmitt
, Hans Ulrich Simon
, Thorsten Suttorp:
Estimating the Optimal Margins of Embeddings in Euclidean Half Spaces. Mach. Learn. 51(3): 263-281 (2003)
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