Christian Igel

Oliver Kramer, Christian Igel, Günter Rudolph: Evolutionary kernel machines. Evolutionary Intelligence 5(3): 151-152 (2012)

Christian Igel: Learning ∈ Artificial Intelligence ∩ Cognitive Technologies ∩ Neural Computation ∩ ... KI 26(3): 209-212 (2012)

Johannes Stallkamp, Marc Schlipsing, Jan Salmen, Christian Igel: Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition. Neural Networks 32: 323-332 (2012)

Johannes Stallkamp, Marc Schlipsing, Jan Salmen, Christian Igel: Introduction to the Special Issue on Machine Learning for Traffic Sign Recognition. IEEE Transactions on Intelligent Transportation Systems 13(4): 1481-1483 (2012)

Asja Fischer, Christian Igel: An Introduction to Restricted Boltzmann Machines. CIARP 2012: 14-36

Ürün Dogan, Tobias Glasmachers, Christian Igel: A Note on Extending Generalization Bounds for Binary Large-Margin Classifiers to Multiple Classes. ECML/PKDD (1) 2012: 122-129

Asja Fischer, Christian Igel: Bounding the Bias of Contrastive Divergence Learning. Neural Computation 23(3): 664-673 (2011)

Holger Blume, Bernd Bischl, Martin Botteck, Christian Igel, Rainer Martin, Günther Roetter, Günter Rudolph, Wolfgang M. Theimer, Igor Vatolkin, Claus Weihs: Huge Music Archives on Mobile Devices. IEEE Signal Process. Mag. 28(4): 24-39 (2011)

Matthias Tuma, Christian Igel: Improved Working Set Selection for LaRank. CAIP (1) 2011: 327-334

Jan Salmen, Lukas Caup, Christian Igel: Real-Time Estimation of Optical Flow Based on Optimized Haar Wavelet Features. EMO 2011: 448-461

Asja Fischer, Christian Igel: Training RBMs based on the signs of the CD approximation of the log-likelihood derivatives. ESANN 2011

Verena Heidrich-Meisner, Christian Igel: Non-linearly increasing resampling in racing algorithms. ESANN 2011

Tobias Friedrich, Karl Bringmann, Thomas Voß, Christian Igel: The logarithmic hypervolume indicator. FOGA 2011: 81-92

Johannes Stallkamp, Marc Schlipsing, Jan Salmen, Christian Igel: The German Traffic Sign Recognition Benchmark: A multi-class classification competition. IJCNN 2011: 1453-1460

Benjamin Roeschies, Christian Igel: Structure optimization of reservoir networks. Logic Journal of the IGPL 18(5): 635-669 (2010)

Tobias Glasmachers, Christian Igel: Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters. IEEE Trans. Pattern Anal. Mach. Intell. 32(8): 1522-1528 (2010)

Valentin Markounikau, Christian Igel, Amiram Grinvald, Dirk Jancke: A Dynamic Neural Field Model of Mesoscopic Cortical Activity Captured with Voltage-Sensitive Dye Imaging. PLoS Computational Biology 6(9) (2010)

Jan Salmen, Marc Schlipsing, Christian Igel: Efficient update of the covariance matrix inverse in iterated linear discriminant analysis. Pattern Recognition Letters 31(13): 1903-1907 (2010)

Rolf P. Würtz, Kirstie L. Bellman, Hartmut Schmeck, Christian Igel: Editorial: Special issue on organic computing. TAAS 5(3) (2010)

Thomas Voß, Nikolaus Hansen, Christian Igel: Improved step size adaptation for the MO-CMA-ES. GECCO 2010: 487-494

Thomas Voß, Tobias Friedrich, Karl Bringmann, Christian Igel: Scaling up indicator-based MOEAs by approximating the least hypervolume contributor: a preliminary study. GECCO (Companion) 2010: 1975-1978

Asja Fischer, Christian Igel: Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines. ICANN (3) 2010: 208-217

Matthias Tuma, Christian Igel, Mark Prior: Hydroacoustic Signal Classification Using Kernel Functions for Variable Feature Sets. ICPR 2010: 1011-1014

Thomas Voß, Heike Trautmann, Christian Igel: New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization. PPSN (2) 2010: 260-269

Christian Igel: Evolutionary Kernel Learning. Encyclopedia of Machine Learning 2010: 369-373

Verena Heidrich-Meisner, Christian Igel: Neuroevolution strategies for episodic reinforcement learning. J. Algorithms 64(4): 152-168 (2009)

Thorsten Suttorp, Nikolaus Hansen, Christian Igel: Efficient covariance matrix update for variable metric evolution strategies. Machine Learning 75(2): 167-197 (2009)

Thomas Voß, Nikolaus Hansen, Christian Igel: Recombination for Learning Strategy Parameters in the MO-CMA-ES. EMO 2009: 155-168

Verena Heidrich-Meisner, Christian Igel: Uncertainty handling CMA-ES for reinforcement learning. GECCO 2009: 1211-1218

Verena Heidrich-Meisner, Christian Igel: Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search. ICML 2009: 51

Christian Igel, Verena Heidrich-Meisner, Tobias Glasmachers: Shark. Journal of Machine Learning Research 9: 993-996 (2008)

Tobias Glasmachers, Christian Igel: Second-Order SMO Improves SVM Online and Active Learning. Neural Computation 20(2): 374-382 (2008)

Susanne Winter, Bernhard Brendel, Ioannis Pechlivanis, Kirsten Schmieder, Christian Igel: Registration of CT and Intraoperative 3-D Ultrasound Images of the Spine Using Evolutionary and Gradient-Based Methods. IEEE Trans. Evolutionary Computation 12(3): 284-296 (2008)

Thomas Voß, Nicola Beume, Günter Rudolph, Christian Igel: Scalarization versus indicator-based selection in multi-objective CMA evolution strategies. IEEE Congress on Evolutionary Computation 2008: 3036-3043

Verena Heidrich-Meisner, Christian Igel: Similarities and differences between policy gradient methods and evolution strategies. ESANN 2008: 149-154

Thorsten Suttorp, Christian Igel: Approximation of Gaussian process regression models after training. ESANN 2008: 427-432

Verena Heidrich-Meisner, Christian Igel: Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem. EWRL 2008: 136-150

Tobias Glasmachers, Christian Igel: Uncertainty Handling in Model Selection for Support Vector Machines. PPSN 2008: 185-194

Verena Heidrich-Meisner, Christian Igel: Evolution Strategies for Direct Policy Search. PPSN 2008: 428-437

Christian Igel, Nikolaus Hansen, Stefan Roth: Covariance Matrix Adaptation for Multi-objective Optimization. Evolutionary Computation 15(1): 1-28 (2007)

Jens Niehaus, Christian Igel, Wolfgang Banzhaf: Reducing the Number of Fitness Evaluations in Graph Genetic Programming Using a Canonical Graph Indexed Database. Evolutionary Computation 15(2): 199-221 (2007)

Britta Mersch, Tobias Glasmachers, Peter Meinicke, Christian Igel: Evolutionary Optimization of Sequence Kernels for Detection of bacterial gene Starts. Int. J. Neural Syst. 17(5): 369-381 (2007)

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. IEEE/ACM Trans. Comput. Biology Bioinform. 4(2): 216-226 (2007)

Verena Heidrich-Meisner, Martin Lauer, Christian Igel, Martin A. Riedmiller: Reinforcement learning in a nutshell. ESANN 2007: 277-288

Jan Salmen, Thorsten Suttorp, Johann Edelbrunner, Christian Igel: Evolutionary Optimization ofWavelet Feature Sets for Real-Time Pedestrian Classification. HIS 2007: 222-227

Thorsten Suttorp, Christian Igel: Resilient Approximation of Kernel Classifiers. ICANN (1) 2007: 139-148

Tobias Glasmachers, Christian Igel: Maximum-Gain Working Set Selection for SVMs. Journal of Machine Learning Research 7: 1437-1466 (2006)

Christian Igel, Thorsten Suttorp, Nikolaus Hansen: Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES. EMO 2006: 171-185

Christian Igel, Thorsten Suttorp, Nikolaus Hansen: A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies. GECCO 2006: 453-460

Britta Mersch, Tobias Glasmachers, Peter Meinicke, Christian Igel: Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts. ICANN (2) 2006: 827-836

Thorsten Suttorp, Christian Igel: Multi-Objective Optimization of Support Vector Machines. Multi-Objective Machine Learning 2006: 199-220

Stefan Roth, Alexander Gepperth, Christian Igel: Multi-Objective Neural Network Optimization for Visual Object Detection. Multi-Objective Machine Learning 2006: 629-655

Antonio Pellecchia, Christian Igel, Johann Edelbrunner, Gregor Schöner: Making Driver Modeling Attractive. IEEE Intelligent Systems 20(2): 8-12 (2005)

Frauke Friedrichs, Christian Igel: Evolutionary tuning of multiple SVM parameters. Neurocomputing 64: 107-117 (2005)

Tobias Glasmachers, Christian Igel: Gradient-Based Adaptation of General Gaussian Kernels. Neural Computation 17(10): 2099-2105 (2005)

Susanne Winter, Bernhard Brendel, Christian Igel: Registrierung von Knochen in 3D-Ultraschall- und CT-Daten: Vergleich verschiedener Optimierungsverfahren. Bildverarbeitung für die Medizin 2005: 345-349

Christian Igel: Multi-objective Model Selection for Support Vector Machines. EMO 2005: 534-546

Christian Igel, Bernhard Sendhoff: Synergies between Evolutionary and Neural Computation. ESANN 2005: 241-252

Stefan Schneider, Christian Igel, Christian Klaes, Hubert R. Dinse, Jan C. Wiemer: Evolutionary Adaptation of Nonlinear Dynamical Systems in Computational Neuroscience. Genetic Programming and Evolvable Machines 5(2): 215-227 (2004)

Stefan Wiegand, Christian Igel, Uwe Handmann: Evolutionary Multi-Objective Optimisation Of Neural Networks For Face Detection. International Journal of Computational Intelligence and Applications 4(3): 237-254 (2004)

Christian Igel, Marc Toussaint: A No-Free-Lunch theorem for non-uniform distributions of target functions. J. Math. Model. Algorithms 3(4): 313-322 (2004)

Christian Igel, Karl-Heinz Temme: The chaining syllogism in fuzzy logic. IEEE T. Fuzzy Systems 12(6): 849-853 (2004)

Stefan Wiegand, Christian Igel, Uwe Handmann: Evolutionary Optimization of Neural Networks for Face Detection. ESANN 2004: 139-144

Frauke Friedrichs, Christian Igel: Evolutionary tuning of multiple SVM parameters. ESANN 2004: 519-524

Christian Igel, Michael Hüsken: Empirical evaluation of the improved Rprop learning algorithms. Neurocomputing 50: 105-123 (2003)

Christian Igel, Martin Kreutz: Operator adaptation in evolutionary computation and its application to structure optimization of neural networks. Neurocomputing 55(1-2): 347-361 (2003)

Christian Igel, Marc Toussaint: On classes of functions for which No Free Lunch results hold. Inf. Process. Lett. 86(6): 317-321 (2003)

Christian Igel, Marc Toussaint: Neutrality and self-adaptation. Natural Computing 2(2): 117-132 (2003)

Christian Igel, Marc Toussaint: Recent Results on No-Free-Lunch Theorems for Optimization. CoRR cs.NE/0303032 (2003)

Christian Igel, Werner von Seelen, Wolfram Erlhagen, Dirk Jancke: Evolving field models for inhibition effects in early vision. Neurocomputing 44-46: 467-472 (2002)

Christian Igel, Peter Stagge: Effects of phenotypic redundancy in structure optimization. IEEE Trans. Evolutionary Computation 6(1): 74-85 (2002)

Michael Hüsken, Christian Igel: Balancing Learning And Evolution. GECCO 2002: 391-398

Marc Toussaint, Christian Igel: Neutrality: A Necessity for Self-Adaptation. CoRR nlin.AO/0204038 (2002)

Christian Igel, Wolfram Erlhagen, Dirk Jancke: Optimization of dynamic neural fields. Neurocomputing 36(1-4): 225-233 (2001)

Christian Igel, Marc Toussaint: On Classes of Functions for which No Free Lunch Results Hold. CoRR cs.NE/0108011 (2001)

Christian Igel, Karl-Heinz Temme: Chaining Syllogism Applied to Fuzzy IF-THEN Rules and Rule Bases. Fuzzy Days 1997: 179-188