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Christian Igel :
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Christian Igel Multi-objective Model Selection for Support Vector Machines. [Citation Graph (0, 0)][DBLP ] EMO, 2005, pp:534-546 [Conf ] Christian Igel , Thorsten Suttorp , Nikolaus Hansen Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES. [Citation Graph (0, 0)][DBLP ] EMO, 2006, pp:171-185 [Conf ] Frauke Friedrichs , Christian Igel Evolutionary tuning of multiple SVM parameters. [Citation Graph (0, 0)][DBLP ] ESANN, 2004, pp:519-524 [Conf ] Christian Igel , Bernhard Sendhoff Synergies between Evolutionary and Neural Computation. [Citation Graph (0, 0)][DBLP ] ESANN, 2005, pp:241-252 [Conf ] Stefan Wiegand , Christian Igel , Uwe Handmann Evolutionary Optimization of Neural Networks for Face Detection. [Citation Graph (0, 0)][DBLP ] ESANN, 2004, pp:139-144 [Conf ] Christian Igel , Karl-Heinz Temme Chaining Syllogism Applied to Fuzzy IF-THEN Rules and Rule Bases. [Citation Graph (0, 0)][DBLP ] Fuzzy Days, 1997, pp:179-188 [Conf ] Michael Hüsken , Christian Igel Balancing Learning And Evolution. [Citation Graph (0, 0)][DBLP ] GECCO, 2002, pp:391-398 [Conf ] Christian Igel , Thorsten Suttorp , Nikolaus Hansen A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies. [Citation Graph (0, 0)][DBLP ] GECCO, 2006, pp:453-460 [Conf ] Britta Mersch , Tobias Glasmachers , Peter Meinicke , Christian Igel Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts. [Citation Graph (0, 0)][DBLP ] ICANN (2), 2006, pp:827-836 [Conf ] Christian Igel , Marc Toussaint On Classes of Functions for which No Free Lunch Results Hold [Citation Graph (0, 0)][DBLP ] CoRR, 2001, v:0, n:, pp:- [Journal ] Christian Igel , Marc Toussaint Recent Results on No-Free-Lunch Theorems for Optimization [Citation Graph (0, 0)][DBLP ] CoRR, 2003, v:0, n:, pp:- [Journal ] Marc Toussaint , Christian Igel Neutrality: A Necessity for Self-Adaptation [Citation Graph (0, 0)][DBLP ] CoRR, 2002, v:0, n:, pp:- [Journal ] Antonio Pellecchia , Christian Igel , Johann Edelbrunner , Gregor Schöner Making Driver Modeling Attractive. [Citation Graph (0, 0)][DBLP ] IEEE Intelligent Systems, 2005, v:20, n:2, pp:8-12 [Journal ] Stefan Schneider , Christian Igel , Christian Klaes , Hubert R. Dinse , Jan C. Wiemer Evolutionary Adaptation of Nonlinear Dynamical Systems in Computational Neuroscience. [Citation Graph (0, 0)][DBLP ] Genetic Programming and Evolvable Machines, 2004, v:5, n:2, pp:215-227 [Journal ] Stefan Wiegand , Christian Igel , Uwe Handmann Evolutionary Multi-Objective Optimisation Of Neural Networks For Face Detection. [Citation Graph (0, 0)][DBLP ] International Journal of Computational Intelligence and Applications, 2004, v:4, n:3, pp:237-254 [Journal ] Frauke Friedrichs , Christian Igel Evolutionary tuning of multiple SVM parameters. [Citation Graph (0, 0)][DBLP ] Neurocomputing, 2005, v:64, n:, pp:107-117 [Journal ] Christian Igel , Wolfram Erlhagen , Dirk Jancke Optimization of dynamic neural fields. [Citation Graph (0, 0)][DBLP ] Neurocomputing, 2001, v:36, n:1-4, pp:225-233 [Journal ] Christian Igel , Michael Hüsken Empirical evaluation of the improved Rprop learning algorithms. [Citation Graph (0, 0)][DBLP ] Neurocomputing, 2003, v:50, n:, pp:105-123 [Journal ] Christian Igel , Martin Kreutz Operator adaptation in evolutionary computation and its application to structure optimization of neural networks. [Citation Graph (0, 0)][DBLP ] Neurocomputing, 2003, v:55, n:1-2, pp:347-361 [Journal ] Christian Igel , Werner von Seelen , Wolfram Erlhagen , Dirk Jancke Evolving field models for inhibition effects in early vision. [Citation Graph (0, 0)][DBLP ] Neurocomputing, 2002, v:44, n:, pp:467-472 [Journal ] Christian Igel , Marc Toussaint On classes of functions for which No Free Lunch results hold. [Citation Graph (0, 0)][DBLP ] Inf. Process. Lett., 2003, v:86, n:6, pp:317-321 [Journal ] Tobias Glasmachers , Christian Igel Maximum-Gain Working Set Selection for SVMs. [Citation Graph (0, 0)][DBLP ] Journal of Machine Learning Research, 2006, v:7, n:, pp:1437-1466 [Journal ] Christian Igel , Marc Toussaint Neutrality and self-adaptation. [Citation Graph (0, 0)][DBLP ] Natural Computing, 2003, v:2, n:2, pp:117-132 [Journal ] Tobias Glasmachers , Christian Igel Gradient-Based Adaptation of General Gaussian Kernels. [Citation Graph (0, 0)][DBLP ] Neural Computation, 2005, v:17, n:10, pp:2099-2105 [Journal ] Christian Igel , Peter Stagge Effects of phenotypic redundancy in structure optimization. [Citation Graph (0, 0)][DBLP ] IEEE Trans. Evolutionary Computation, 2002, v:6, n:1, pp:74-85 [Journal ] Christian Igel , Karl-Heinz Temme The chaining syllogism in fuzzy logic. [Citation Graph (0, 0)][DBLP ] IEEE T. Fuzzy Systems, 2004, v:12, n:6, pp:849-853 [Journal ] Thorsten Suttorp , Christian Igel Resilient Approximation of Kernel Classifiers. [Citation Graph (0, 0)][DBLP ] ICANN (1), 2007, pp:139-148 [Conf ] Christian Igel , Tobias Glasmachers , Britta Mersch , Nico Pfeifer , Peter Meinicke Gradient-Based Optimization of Kernel-Target Alignment for Sequence Kernels Applied to Bacterial Gene Start Detection. [Citation Graph (0, 0)][DBLP ] IEEE/ACM Trans. Comput. Biology Bioinform., 2007, v:4, n:2, pp:216-226 [Journal ] Registrierung von Knochen in 3D-Ultraschall- und CT-Daten: Vergleich verschiedener Optimierungsverfahren. [Citation Graph (, )][DBLP ] Recombination for Learning Strategy Parameters in the MO-CMA-ES. [Citation Graph (, )][DBLP ] Reinforcement learning in a nutshell. [Citation Graph (, )][DBLP ] Similarities and differences between policy gradient methods and evolution strategies. [Citation Graph (, )][DBLP ] Approximation of Gaussian process regression models after training. [Citation Graph (, )][DBLP ] Uncertainty handling CMA-ES for reinforcement learning. [Citation Graph (, )][DBLP ] Improved step size adaptation for the MO-CMA-ES. [Citation Graph (, )][DBLP ] Scaling up indicator-based MOEAs by approximating the least hypervolume contributor: a preliminary study. [Citation Graph (, )][DBLP ] Evolutionary Optimization ofWavelet Feature Sets for Real-Time Pedestrian Classification. [Citation Graph (, )][DBLP ] Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines. [Citation Graph (, )][DBLP ] Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search. [Citation Graph (, )][DBLP ] Evolution Strategies for Direct Policy Search. [Citation Graph (, )][DBLP ] Uncertainty Handling in Model Selection for Support Vector Machines. [Citation Graph (, )][DBLP ] New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization. [Citation Graph (, )][DBLP ] Scalarization versus indicator-based selection in multi-objective CMA evolution strategies. [Citation Graph (, )][DBLP ] Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem. [Citation Graph (, )][DBLP ] Reducing the Number of Fitness Evaluations in Graph Genetic Programming Using a Canonical Graph Indexed Database. [Citation Graph (, )][DBLP ] Covariance Matrix Adaptation for Multi-objective Optimization. [Citation Graph (, )][DBLP ] Search in 0.003secs, Finished in 0.453secs