Publications by Christian Igel
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Christian Igel. The Implications of the No
Free Lunch Theorems. In Y. Borenstein and A. Moraglio, eds.: Theory
and Principled Methods for the Design of Metaheuristics.
Springer-Verlag, in press
Sebastian Houben, Johannes Stallkamp, Jan Salmen, Marc Schlipsing, and Christian Igel.
Detection of Traffic Signs in Real-World Images: The German Traffic Sign Detection Benchmark.
International Joint Conference on Neural Networks (IJCNN
2013), IEEE Press, accepted
Adhish Prasoon, Christian Igel, Marco Loog,
Francois Lauze, Erik
Dam, and Mads
Nielsen. Femoral Cartilage Segmentation in Knee MRI Scans Using
Two Stage Voxel Classification. In: 35th Annual
International Conference of the IEEE Engineering in
Medicine and Biology Society (EMBC). IEEE Press, accepted
2013
Oswin Krause, Asja Fischer, Tobias Glasmachers,
and Christian Igel.
Approximation properties of DBNs with binary hidden units and
real-valued visible units. JMLR W&CP 28 (1), pp. 419–426, 2013
Marc Schlipsing, Jan Salmen, and Christian
Igel. Echtzeit-Videoanalyse im Fußball - Entwurf eines
Live-Systems zum Spieler-Tracking.
Künstliche Intelligenz,2013
2012
Christian Igel. A Note on Generalization Loss When Evolving
Adaptive Pattern Recognition Systems.
IEEE Transactions on Evolutionary Computation,
2012
Joselene Marques, Christian Igel, Martin Lillholm, and Erik B. Dam. Linear feature selection in
texture analysis. Machine Vision and Applications, 2012
Johannes Stallkamp, Marc Schlipsing, Jan Salmen, and Christian Igel.
Man vs. Computer: Benchmarking Machine Learning Algorithms for Traffic Sign Recognition.
Neural Networks 32 , pp. 323-332, 2012
Christian Igel. Learning ∈ Artificial
Intelligence ∩ Cognitive Technologies ∩ Neural
Computation ∩ ... Künstliche Intelligenz
26 (3), pp. 209-212, 2012 (editorial)
Oliver Kramer, Christian Igel, and Günter
Rudolph. Evolutionary Kernel Machines. Evolutionary
Intelligence 5 (3), pp. 151-152, 2012 (guest editorial)
Johannes Stallkamp, Marc Schlipsing, Jan Salmen, and Christian Igel.
Introduction to the Special Issue on Machine Learning for Traffic Sign Recognition.
IEEE Transactions on Transportation Systems 13 (4), pp. 1481-1481, 2012 (guest editorial)
Matthias Tuma, Christian Igel, and Mark
Prior. Hydroacoustic Signal Classification Using Support Vector
Machines. In C. H. Chen, ed.: Signal and Image Processing for Remote
Sensing, 2nd edition, pp. 37-56, CRC Press, 2012
Chen Chen, Lauge Sørensen, Francois Lauze,
Christian Igel, Marco Loog, Aasa Feragen, Marleen de Bruijne, and
Mads Nielsen. Towards exaggerated emphysema stereotypes. In: SPIE
Medical Imaging 2012: Image Processing.
Proceedings of SPIE 8315, 83150Q, 2012
Ürün Dogan, Tobias Glasmachers, and Christian Igel.
A Note on Extending Generalization Bounds for Binary Large-margin
Classifiers to Multiple Classes.
In P. A. Flach, T. De Bie, and N. Cristianini, eds.:
European Conference on Machine Learning and Principles and
Practice of Knowledge Discovery in Databases (ECML-PKDD 2012),
LNCS 7523 , pp.122-129, Springer-Verlag, 2012
Asja Fischer and Christian Igel.
An Introduction to Restricted Boltzmann Machines.
In L. Alvarez, M. Mejail, L. Gomez, and J. Jacobo, eds.:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
(CIARP 2012),
LNCS 7441 , pp. 14-36, Springer-Verlag, 2012
Adhish Prasoon, Christian Igel, Marco Loog,
Francois Lauze, Erik Dam, and Mads Nielsen. Cascaded classifier for
large-scale data applied to automatic segmentation of articular
cartilage. In: SPIE Medical Imaging 2012: Image Processing. Proceedings of SPIE 8314, 83144V, 2012
Ürün Dogan, Tobias Glasmachers, and Christian Igel.
Turning Binary Large-margin Bounds into Multi-class Bounds.
In A. Gretton,
Z. Harchaoui, and
B. Sriperumbudur, organizers:
ICML 2012 Workshop on RKHS and kernel-based methods, 2012
2011
Holger
Blume, Bernd Bischl, Martin Botteck, Christian Igel, Rainer
Martin, Günther Rötter, Günter
Rudolph, Wolfgang Theimer, Igor Vatolkin, and Claus Weihs.
Huge Music Archives on Mobile Devices.
IEEE Signal Processing Magazine, 28 (4),
pp. 24-39, 2011
Asja Fischer and Christian Igel.
Bounding the Bias of Contrastive Divergence Learning.
Neural Computation 23 , pp. 664-673, 2011
Chen Chen, Francois Lauze, Christian Igel,
Aasa Feragen, Marco Loog, and Mads Nielsen. Towards exaggerated
image stereotypes. In: Asian Conference on Pattern Recognition
(ACPR 2011), pp. 422-426, IEEE Press, 2011
Asja
Fischer and Christian Igel.
Training RBMs Based on the Signs of the CD Approximation of the Log-likelihood Derivatives. In M. Verleysen, ed.:
19th European Symposium on Artificial Neural
Networks (ESANN 2011), pp. 495-500, Belgium: d-side
publications, 2011
Tobias Friedrich, Karl Bringmann, Thomas Voß, and Christian Igel.
The Logarithmic Hypervolume Indicator.
In H.G. Beyer and W. B. Langdon, eds.: Foundations of Genetic
Algorithms (FOGA 2011), pp. 81-92, ACM Press, 2011
Verena Heidrich-Meisner and Christian Igel.
Non-linearly Increasing Resampling in Racing Algorithms. In M. Verleysen, ed.:
19th European Symposium on Artificial Neural
Networks (ESANN 2011), pp. 465-470, Belgium: d-side
publications, 2011
Jan Salmen, Lukas Caup, and Christian Igel.
Real-time Estimation of Optical Flow Based
on Optimized Haar Wavelet Features.
In R. H. C. Takahashi, K. Deb, E. F. Wanner and S. Greco, eds.: Sixth International Conference on Evolutionary Multi-Criterion
Optimization (EMO 2011), LNCS 6576 , pp. 448-461,
Springer-Verlag, 2011
Johannes Stallkamp, Marc Schlipsing, Jan Salmen, and Christian Igel.
The German Traffic Sign Recognition Benchmark: A Multi-class
Classification Competition.
International Joint Conference on Neural Networks (IJCNN
2011), pp. 1453-1460, IEEE Press
Matthias Tuma and Christian Igel.
Improved Working Set Selection for LaRank. In A. Berciano et al., eds.: 14th International Conference on
Computer Analysis of Images and Patterns (CAIP 2011), LNCS 6854 , pp. 327-334,
Springer-Verlag, 2011
2010
Tobias Glasmachers and Christian Igel.
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters.
IEEE Transactions on Pattern Analysis and Machine
Intelligence 32 (8), pp. 1522-1528, 2010
source code
Jan Salmen, Marc Schlipsing, and Christian Igel.
Efficient Update of the Covariance Matrix Inverse in Iterated Linear Discriminant Analysis.
Pattern Recognition Letters 31 (1), pp. 1903-1907, 2010
Valentin Markounikau, Christian Igel, Amiram Grinvald, and Dirk
Jancke. Dynamic Neural Field Model of Mesoscopic Cortical Activity
Captured with Voltage-sensitive Dye Imaging. PLoS Computational
Biology 6 (9),
2010
Benjamin Roeschies and Christian Igel.
Structure Optimization of Reservoir Networks. Logic Journal of the
IGPL 18 (5), pp. 635-669, 2010
Rolf P. Würtz, Kirstie L. Bellman,
Hartmut Schmeck, and Christian Igel. Special Issue on Organic
Computing. ACM Transactions Autonomous and Adaptive Systems, (3), pp. 1-3, 2010 (guest editorial)
Christian Igel. Evolutionary Kernel Learning. In C. Sammut and G. I. Webb, eds.: Encyclopedia of Machine Learning, Springer-Verlag, 2010
Asja Fischer and Christian Igel.
Empirical Analysis of the Divergence of Gibbs
Sampling Based Learning Algorithms for Restricted Boltzmann Machines.
In K. Diamantaras, W. Duch, and L. S. Iliadis, eds.:
International Conference on Artificial Neural Networks
(ICANN 2010), LNCS 6354 , pp. 208-217, Springer-Verlag, 2010
Asja Fischer and Christian Igel. Bounding the Bias of Contrastive Divergence Used for
Maximum Likelihood Learning in Restricted Boltzmann Machines. In: Second Joint Statistical Meeting Deutsche
Arbeitsgemeinschaft Statistik `Statistics under one umbrella' (DAGStat 2010), p. 98, 2010
Matthias Tuma, Christian Igel, and Mark Prior.
Hydroacoustic Signal Classification Using Kernel
Functions for Variable Feature Sets. In: International Conference on
Pattern Recognition (ICPR 2010), 2010
Matthias Tuma and Christian Igel.
Automatic Classification of Hydroacoustic Signals to Support
Verification of the Comprehensive Nuclear-Test-Ban Treaty.
In: Second Joint Statistical Meeting Deutsche Arbeitsgemeinschaft Statistik `Statistics under one umbrella'
(DAGStat 2010), p. 361, 2010
Thomas Voß, Heike Trautmann, and Christian Igel.
New Uncertainty Handling Strategies in Multi-Objective Evolutionary Optimization.
Parallel Problem Solving from Nature (PPSN XI), LNCS,
Springer-Verlag, 2010
Thomas Voß,
Tobias Friedrich, Karl Bringmann, and Christian Igel.
Scaling Up Indicator-based MOEAs by Approximating the Least
Hypervolume Contributor: A Preliminary Study. In N. Beume and D.
Brockhoff, eds.: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010):
Workshop on Theoretical Aspects of Evolutionary Multiobjective
Optimization, pp. 1975-1978, ACM Press, 2010
Thomas Voß,
Nikolaus Hansen, and Christian Igel.
Improved Step Size Adaptation for the MO-CMA-ES. In: Proceedings of the Genetic and Evolutionary Computation Conference
(GECCO 2010), pp. 487-494, ACM Press, 2010
2009
Verena Heidrich-Meisner and Christian Igel.
Neuroevolution Strategies for Episodic Reinforcement Learning. Journal
of Algorithms 64 (4), pp. 152-168, 2009
Christian Igel. Service: Reinforcement Learning. Künstliche Intelligenz 09 (3), p. 44, 2009
Christian Igel. Reinforcement
Learning. Künstliche Intelligenz 09 (3),
p. 4, 2009 (guest editorial)
Thorsten Suttorp, Nikolaus Hansen, and Christian Igel.
Efficient Covariance Matrix Update for Variable Metric Evolution Strategies.
Machine Learning 75 , pp. 167-197, 2009
source code
Julian Togelius, Tom Schaul, Daan Wierstra, Christian Igel, Faustino Gomez, and Jürgen Schmidhuber. Ontogenetic and Phylogenetic Reinforcement Learning.
Künstliche Intelligenz 09 (3), pp. 30-33, 2009
Susanne Winter, Ioannis Pechlivanis, Claudia Dekomien, Bernhard Brendel, Christian Igel, and Kirsten Schmieder. Toward Registration of 3D Ultrasound and CT Images of the Spine in Clinical Praxis: Design and Evaluation of a Data Acquisition Protocol.
Ultrasound in Medicine and Biology 35 (11), pp. 1773-1782, 2009, doi:10.1016/j.ultrasmedbio.2009.06.1089
Asja Fischer and Christian Igel.
Contrastive Divergence Learning May
Diverge When Training Restricted Boltzmann Machines. Frontiers in Computational Neuroscience. Conference Abstract: Bernstein Conference on Computational Neuroscience
(BCCN 2009), 2009, doi:10.3389/conf.neuro.10.2009.14.121
Verena
Heidrich-Meisner and Christian Igel.
Hoeffding and
Bernstein Races for Selecting Policies in Evolutionary Direct Policy
Search. In L. Bottou and M. Littman, eds.: Proceedings of the International Conference on Machine
Learning (ICML 2009), pp. 401-408, 2009
Verena Heidrich-Meisner and Christian Igel.
Uncertainty Handling CMA-ES for Reinforcement Learning. In Proceedings of the Genetic and Evolutionary Computation Conference
(GECCO 2009), pp. 1211-1218, ACM Press, 2009
Verena Heidrich-Meisner and Christian Igel.
Variable-metric Evolution Strategies for Direct Policy Search. In: Multidisciplinary Symposium on Reinforcement Learning (MSRL 2009), 2009
Christian Igel and Tobias Glasmachers.
Second-order SMO for SVM Online and Active Learning.
In: 23rd European Conference on Operational Research (EURO 2009), 2009
Valentin Markounikau, Christian Igel, and Dirk
Jancke. A Mesoscopic Model of VSD Dynamics
Observed in Visual Cortex Induced by Flashed and Moving Stimuli. Frontiers in Computational Neuroscience. Conference Abstract: Bernstein Conference on Computational Neuroscience (BCCN 2009), 2009, doi: 10.3389/conf.neuro.10.2009.14.064
Matthias Tuma and Christian Igel.
Kernel-based Machine Learning Techniques for Hydroacoustic Signal Classification.
International Scientific Studies Conference (ISS 2009), 2009
Thomas Voß,
Nikolaus Hansen, and Christian Igel.
Recombination for Learning Strategy Parameters in the MO-CMA-ES.
In M. Ehrgott, C. Fonseca, X. Gandibleux, J.-K. Hao, and M. Sevaux,
eds.: Fifth International Conference on Evolutionary Multi-Criterion
Optimization (EMO 2009), LNCS 5467 , pp. 155-168,
Springer-Verlag, 2009
2008
Tobias Glasmachers and Christian Igel. Second
Order SMO Improves SVM Online and Active Learning.
Neural Computation 20 (2), pp. 374-382, 2008
source code
Christian Igel, Verena Heidrich-Meisner, and Tobias
Glasmachers. Shark.
Journal of Machine Learning Research 9 , pp. 993-996,
2008
source code
Susanne
Winter, Bernhard Brendel, Ioannis Pechlivanis, Kirsten Schmieder,
and Christian Igel. Registration of CT and Intraoperative 3D
Ultrasound Images of the Spine Using Evolutionary and Gradient-based
Methods. IEEE Transactions on Evolutionary Computation, 12 (3), pp. 284–296, 2008
Christian Igel and Bernhard Sendhoff. Genesis of Organic Computing Systems: Coupling Evolution and Learning.
In R. Würtz, ed.: Organic Computing, Chapter 7, pp. 141-166, Springer-Verlag, 2008
Tobias Glasmachers and Christian
Igel. Uncertainty Handling in Model Selection for Support Vector Machines. In G. Rudolph,
ed.: Parallel Problem Solving from Nature (PPSN X), LNCS
5199 ,
pp. 185-194, Springer-Verlag, 2008
Verena Heidrich-Meisner and Christian
Igel. Learning Behavioral Policies using Extrinsic
Perturbations on the Level of Synapses. Frontiers in Computational Neuroscience. Conference
Abstract: Bernstein Symposium 2008, 2008, doi:10.3389/conf.neuro.10.2008.01.060
Verena Heidrich-Meisner and Christian
Igel. Evolution Strategies for Direct Policy Search. In G. Rudolph,
ed.: Parallel Problem Solving from Nature (PPSN X), LNCS
5199 ,
pp. 428-437, Springer-Verlag, 2008
Verena Heidrich-Meisner and Christian Igel.
Variable Metric Reinforcement Learning Methods Applied to the Noisy
Mountain Car Problem. In Girgin et al., eds.: European Workshop on Reinforcement Learning
(EWRL 2008), LNAI 5323 , pp. 136-150, Springer-Verlag, 2008
Verena Heidrich-Meisner and Christian Igel.
Similarities and differences between policy gradient methods and evolution strategies. In M. Verleysen, ed.:
16th European Symposium on Artificial Neural
Networks (ESANN 2008), pp. 149-154, Belgium: d-side publications, 2008
Verena Heidrich-Meisner and Christian Igel.
Uncertainty Handling in Evolutionary Direct Policy Search. In Y. Engel, M. Ghavamzadeh, P. Poupart, and S. Mannor, eds.: NIPS-08
Workshop on Model Uncertainty and Risk in Reinforcement Learning,
2008
Thorsten Suttorp and Christian Igel.
Approximation of Gaussian Process Regression Models after Training. In M. Verleysen, ed.:
16th European Symposium on Artificial Neural
Networks (ESANN 2008), pp. 427-432, Belgium: d-side publications, 2008
source code
Thomas Voß, Nicola Beume, Günter
Rudolph, Christian Igel. Scalarization versus Indicator-based Selection in
Multi-objective CMA Evolution Strategies. Congress on
Evolutionary Computation 2008 (CEC 2008), pp. 3041-3048, IEEE Press, 2008
2007
Christian Igel, Nikolaus Hansen, and Stefan
Roth. Covariance Matrix Adaptation for Multi-objective
Optimization. Evolutionary Computation 15 (1), pp. 1-28, 2007
source code
Christian Igel, Tobias Glasmachers, Britta
Mersch, Nico Pfeifer, and Peter
Meinicke. Gradient-based Optimization of Kernel-Target Alignment
for Sequence Kernels Applied to Bacterial Gene Start
Detection. IEEE/ACM Transactions on Computational Biology and
Bioinformatics 4 (2), pp. 216-226, 2007
source code & supplementary material
Britta Mersch, Tobias Glasmachers, Peter
Meinicke, and Christian Igel. Evolutionary Optimization of Sequence
Kernels for Detection of Bacterial Gene Starts. International
Journal of Neural Systems 17 (5), selected paper of
ICANN 2006, pp. 369-381, 2007 source code & supplementary material
Jens Niehaus, Christian Igel, and Wolfgang Banzhaf. Reducing the
Number of Fitness Evaluations in Graph Genetic Programming Using a
Canonical Graph Indexed Database. Evolutionary Computation, 15 (2), pp. 199-221, 2007
Verena Heidrich-Meisner, Martin Lauer, Christian Igel, and Martin Riedmiller.
Reinforcement Learning in a Nutshell. In M. Verleysen,
ed.:
15th European Symposium on Artificial Neural
Networks (ESANN 2007), Belgium: d-side publications, pp. 277-288, 2007
Christian
Igel, Thorsten
Suttorp,
and Nikolaus
Hansen. Steady-state Selection and
Efficient Covariance Matrix Update in the Multi-objective CMA-ES.
In S. Obayashi et al., eds.: Proceedings of the Fourth
International Conference on Evolutionary Multi-Criterion Optimization
(EMO 2007), LNCS 4403 , pp. 171-185, Springer-Verlag,
2007 source code
Thorsten
Suttorp and Christian Igel. Resilient Approximation of Kernel
Classifiers. In J. Marques de Sá et al.,
eds.: International Conference on Artificial Neural Networks
(ICANN 2007), LNCS 4668 , pp. 139-148, Springer-Verlag,
2007
source code
Karin Liebenrodt, Martin H. J. Busch, Serban
Mateiescu, Christian
Igel, Susanne
Winter, and Dietrich H. W. Grönemeyer.
Protonenresonanzspektroskopie des Gehirns mit kurzer Echozeit:
Unterstützung der Gewebeklassifizierung durch künstliche
neuronale Netzwerke, Biomedizinische Technik (BMT),
52 (suppl.), 2007
Jan
Salmen, Thorsten
Suttorp, Johann Edelbrunner, and Christian Igel. Evolutionary
Optimization of Wavelet Feature Sets for Real-Time Pedestrian
Classification. In A. König, M. Köppen, A. Abraham,
C. Igel, and N. Kasabov, eds.: International Conference on Hybrid
Intelligent Systems (HIS 2007), pp. 222-227, IEEE Computer Society, 2007
2006
Tobias Glasmachers and Christian Igel.
Maximum-Gain Working Set Selection for SVMs. Journal of Machine
Learning Research 7 , pp. 1437-1466, 2006 source code and supplementary information
Thorsten Suttorp and Christian Igel.
Multi-objective optimization of support vector
machines. In Y. Jin, ed.:
Multi-objective Machine Learning, pp. 199-220, Studies in Computational Intelligence, Springer-Verlag, 2006
Stefan Roth, Alexander Gepperth, and Christian Igel.
Multi-objective neural network optimization for visual
object detection. In Y. Jin, ed.:
Multi-objective Machine Learning, pp. 629-655, Studies in Computational Intelligence, Springer-Verlag, 2006
Christian Igel, Thorsten Suttorp, and Nikolaus Hansen.
A Computational Efficient Covariance Matrix Update and a (1+1)-CMA for
Evolution Strategies. In Proceedings of the Genetic and Evolutionary
Computation Conference (GECCO 2006), pp. 453-460, ACM Press, 2006 source code
Britta Mersch, Tobias Glasmachers, Peter Meinicke, and Christian Igel.
Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts.
In S. Kollias et al., eds.: International Conference on Artificial Neural Networks (ICANN
2006), LNCS 4132 , pp. 827-836, Springer-Verlag, 2006 source code & supplementary material
2005
Tobias Glasmachers and Christian Igel.
Gradient-based Adaptation of General Gaussian Kernels.
Neural Computation 17 (10), pp. 2099-2105, 2005
Antonio Pellecchia, Christian Igel, Johann Edelbrunner, and Gregor Schöner.
Making Driver Modeling Attractive. IEEE Intelligent Systems 20 (2), pp. 8-12, 2005
Frauke Friedrichs and Christian Igel.
Evolutionary Tuning of Multiple SVM Parameters.
Neurocomputing 64 (C), pp. 107-117,
2005
Christian Igel, Marc
Toussaint, and Wan Weishui. Rprop Using the
Natural Gradient. In M. G. de Bruin, D. H. Mache, and
J. Szabados, eds.: Trends and Applications in Constructive
Approximation. International Series of Numerical Mathematics,
vol. 151, pp. 259-272, Birkhäuser Verlag, 2005
Christian Igel, Frauke Friedrichs, and Stefan Wiegand.
Evolutionary Optimization of Neural Systems: The Use of Strategy Adaptation.
In M. G. de Bruin, D. H. Mache, and J. Szabados, eds.:
Trends and Applications in Constructive Approximation.
International Series of Numerical Mathematics, vol. 151, pp. 103-123, Birkhäuser Verlag, 2005
Susanne Winter, Bernhard Brendel, and Christian Igel. Registration of
bone structures in 3D ultrasound and CT data: Comparison of different
optimization strategies. In H. U. Lemke, K. Inamura, K. Doi,
M. W. Vannier, and A. G. Farman, eds.: Computer Assisted
Radiology and Surgery (CARS 2005), International Congress Series 1281,
pp. 242-247, Elsevier, 2005
Christian Igel and Bernhard Sendhoff.
Synergies between Evolutionary and Neural Computation.
In M. Verleysen, ed.:
13th European Symposium on Artificial Neural
Networks (ESANN 2005), pp. 241-252, Belgium: d-side publications, 2005
Christian Igel.
Multiobjective Model Selection for Support
Vector Machines. In C. A. Coello Coello, E. Zitzler, and
A. Hernandez Aguirre, eds.: Proceedings of the Third International
Conference on Evolutionary Multi-Criterion Optimization (EMO
2005), LNCS 3410 , pp. 534-546, Springer-Verlag, 2005
Susanne
Winter, Bernhard Brendel, and Christian Igel.
Registrierung von Knochen in 3D-Ultraschall-
und CT-Daten: Vergleich verschiedener Optimierungsverfahren. In
Bildverarbeitung für die Medizin
(BVM), pp. 345-149, Springer-Verlag, 2005
2004
Christian Igel and Karl-Heinz Temme. The Chaining Syllogism in Fuzzy
Logic. IEEE Transactions on Fuzzy Systems 12 (6),
pp. 849-853, 2004 (extended version)
Stefan Wiegand, Christian Igel, and Uwe
Handmann. Evolutionary Multi-Objective Optimization of Neural Networks for Face Detection. International Journal of Computational Intelligence
and Applications, Special Issue on Neurocomputing and Hybrid
Methods for Evolving Intelligence 4 (3), pp. 237-253,
2004
Christian Igel
and Marc Toussaint.
A No-Free-Lunch Theorem for Non-Uniform Distributions of Target Functions.
Journal of Mathematical Modelling and Algorithms 3 (4),
pp. 313-322, 2004
Stefan Schneider, Christian Igel, Christian Klaes, Hubert R. Dinse, and
Jan C. Wiemer. Evolutionary adaptation of nonlinear dynamical systems in
computational neuroscience. Genetic Programming and Evolvable
Machines 5 (2), Special Issue on Biological Applications of Genetic and
Evolutionary Computation, pp. 215-227, 2004
Thomas Wiebringhaus,
Christian Igel, and Jutta Gebert. Protein Fold Class Prediction Using Neural
Networks with Tailored Early-Stopping. International Joint Conference on Neural Networks (IJCNN 2004), pp. 1693-1697, IEEE Press, 2004 note
Frauke Friedrichs and Christian Igel.
Evolutionary Tuning of Multiple SVM Parameters.
In M. Verleysen, ed.:
12th European Symposium on Artificial Neural Networks (ESANN 2004),
pp. 519-524, Belgium: d-side publications, 2004 note
Stefan Wiegand, Christian Igel, and Uwe Handmann. Evolutionary
Optimization of Neural Networks for Face Detection.
In M. Verleysen, ed.:
12th European Symposium
on Artificial Neural Networks (ESANN 2004),
pp. 139-144 Belgium: d-side publications, 2004
2003
Christian Igel and Martin Kreutz.
Operator Adaptation in Evolutionary Computation and
its Application to Structure Optimization of Neural Networks.
Neurocomputing 55 (1-2), pp. 347-361, 2003 (uncorrected proof)
Torsten Mayr, Christian Igel, Gregor Liebsch,
Ingo Klimant, and Otto S.
Wolfbeis. Cross-Reactive Metal Ion Sensor
Array in a Microtiterplate Format. Analytical Chemistry 75 (17), pp. 4389-4396, 2003
Christian Igel
and Marc Toussaint. Neutrality and Self-Adaptation.
Natural Computing 2 (2), pp. 117-132, 2003
Christian Igel and Marc Toussaint. On Classes of Functions for which No Free Lunch Results Hold. Information Processing
Letters 86 (6), pp. 317-321, 2003
Thomas Bücher, Cristobal Curio, Johann Edelbrunner, Christian Igel, David Kastrup,
Iris
Leefken, Gesa Lorenz, Axel Steinhage, and Werner von Seelen.
Image Processing and Behaviour Planning for Intelligent Vehicles.
IEEE Transactions on Industrial Electronics 50 (1), pp. 62-75, 2003
Christian Igel and Michael Hüsken. Empirical Evaluation of the Improved Rprop Learning Algorithm. Neurocomputing 50 (C), pp. 105-123, 2003
source code
Christian Igel. Neuroevolution for Reinforcement
Learning Using Evolution Strategies. In R. Sarker, R. Reynolds, H. Abbass, K. C. Tan, B. McKay, D. Essam, and T. Gedeon, eds.: Congress on
Evolutionary Computation 2003 (CEC 2003), Volume 4,
pp. 2588-2595, IEEE Press, 2003
Thomas Wiebringhaus, Ulrich Faigle, Dietmar Schomburg, Jutta Gebert,
Christian Igel, and Gerhard-Wilhelm Weber. Protein Fold Class Prediction Using Neural
Networks Reconsidered. Currents in Computational Molecular
Biology, The Seventh Annual International Conference on Research
in Computational Molecular Biology (RECOMB 2003), pp. 225-226, 2003
2002
Michael Hüsken, Christian Igel,
and Marc Toussaint. Task-Dependent Evolution of Modularity in Neural Networks.
Connection Science 14 (3), pp. 219-229, 2002
Christian Igel and Peter Stagge. Effects of Phenotypic Redundancy in Structure Optimization.
IEEE Transactions on Evolutionary Computation 6 (1), pp. 74-85, 2002
Christian Igel, Werner
von Seelen, Wolfram Erlhagen, and Dirk Jancke. Evolving Field Models for Inhibition Effects in Early Vision. Neurocomputing 44-46 (C), pp. 467-472, 2002
Hubert R. Dinse, Michael Hüsken, Christian Igel, Christian Klaes, Marc Nunkesser, Stefan Schneider, and Jan Wiemer. Derandomized Evolution Strategies in Computational Neuroscience. In A. Barry,
ed.: 2002 Genetic and Evolutionary Computation Conference Workshop Program (GECCO 2002): Biological Applications of Genetic and Evolutionary
Computation (BioGEC 2002), pp. 35-37, 2002
Michael Hüsken and Christian Igel.
Balancing Learning and Evolution. In W. B. Langdon, E. Cantu-Paz, K. Mathias, R. Roy, D. Davis, R. Poli,
K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull,
M. A. Potter, A. C. Schultz, J. F. Miller, E. Burke, and N. Jonoska, eds.: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2002), pp. 391-398, 2002, Morgan Kaufmann
Christian Igel and Peter Stagge. Graph Isomorphisms Affect Structure Optimization of Neural Networks. International
Joint Conference on Neural Networks 2002 (IJCNN 2002), pp. 142-147, IEEE Press
Marc Toussaint and Christian Igel. Neutrality: A Necessity for Self-Adaptation. Congress on Evolutionary Computation 2002 (CEC 2002), pp. 1354-1359, IEEE Press
2001
Christian Igel, Wolfram Erlhagen, and Dirk Jancke.
Optimization of Dynamic
Neural Fields. Neurocomputing 36 (1-4), pp. 225-233, 2001
Thomas
Bergener, Carsten
Bruckhoff and Christian Igel. Parameter Optimization for Visual
Obstacle Detection Using a Derandomized Evolution Strategy. In
J. Blanc-Talon and D. Popescu, eds.: Imaging and Vision
Systems: Theory, Assessment and Application. Advances in Computation: Theory
and Practice 9, Chapter 13, pp. 265-279, NOVA Science Books, 2001
Christian Igel and Martin Kreutz. Operator Adaptation in Structure Optimization of
Neural Networks. In L. Spector, E. Goodman, A. Wu, W.B. Langdon,
H.-M. Voigt, M. Gen, S. Sen, M. Dorigo, S. Pezeshk, M. Garzon, and
E. Burke, eds.: Proceedings of the Genetic and Evolutionary
Computation Conference (GECCO '01), p. 1094, Morgan Kaufmann Publishers,
2001
Johann Edelbrunner, Uwe Handmann, Christian Igel, Iris
Leefken and Werner
von Seelen. Application and Optimization of Neural Field Dynamics
for Driver Assistance. In The IEEE 4th International Conference on
Intelligent Transportation Systems (ITSC '01), pp. 309-314, IEEE Press, 2001
Peter Stagge and Christian Igel. Structure
Optimization and Isomorphisms. In L. Kallel, B. Naudts and
A. Rogers, eds.: Theoretical Aspects of Evolutionary
Computing, Natural Computing series, pp. 409-422,
Springer-Verlag, 2001
2000
Peter Stagge and Christian Igel. Neural Network
Structures and Isomorphisms: Random Walk Characteristics of the Search
Space. In X. Yao and D. B. Fogel, eds.:
2000 IEEE Symposium on Combinations of
Evolutionary Computation and Neural Networks (ECNN), pp. 82-90, IEEE press, 2000
Christian Igel and Michael Hüsken.
Improving the Rprop Learning Algorithm. In H. Bothe and R. Rojas,
eds.: Second
International Symposium on Neural Computation (NC 2000), pp. 115-121,
ICSC
Academic Press, 2000
source code
1999
Thomas Bergener,
Carsten Bruckhoff and Christian Igel.
Evolutionary Parameter Optimization for Visual Obstacle Detection.
In J. Blanc-Talon and D. Popescu, eds.:
Advanced Concepts for Intelligent Vision Systems (ACIVS'99),
pp. 104-109, The International Institute for Advanced Studies in Systems
Research and Cybernetics, 1999
Christian Igel and Kumar
Chellapilla. Fitness Distributions: Tools for Designing Efficient
Evolutionary Computations. In L. Spector, W. B. Langdon,
U.-M. O'Reilly, and P. J. Angeline, eds.: Advances in Genetic
Programming 3, Chapter 9, pp. 191-216, MIT Press, 1999
Christian Igel and Kumar Chellapilla.
Investigating the Influence of Depth and Degree of Genotypic Change on
Fitness in Genetic Programming. In W. Banzhaf, J. Daida, A. E. Eiben,
M. H. Garzon, V. Honavar, M. Jakiela and R. E. Smith, eds.:
Proceedings of the Genetic and Evolutionary Computation Conference
(GECCO '99), Volume 2, pp. 1061-1068, Morgan Kaufmann Publishers, 1999 note
Christian Igel and Martin Kreutz.
Using Fitness Distributions to Improve the Evolution of Learning Structures.
Congress on Evolutionary Computation (CEC 99), Volume 3,
pp. 1902-1909, IEEE Press, 1999
1998
Christian Igel.
Causality of Hierarchical Variable Length
Representations. Proceedings of the IEEE International
Conference on Evolutionary Computation (ICEC'98), pp. 324-329, IEEE Press, 1998
1997
Christian Igel and Karl-Heinz Temme.
Chaining Syllogism Applied to Fuzzy
If-Then Rules and Rule Bases. In B. Reusch, ed.: Computational
Intelligence - Theory and Applications, LNCS 1226 , pp. 179-188, Springer-Verlag, 1997
Edited Conference Proceedings
Terence Soule, Anne Auger, Christian Blum, Jürgen Branke, Nicolas
Bredeche, Will Neil Browne, John Andrew Clark, Kalyanmoy Deb, Alan
Dorin, Rene Doursat, Aniko Ekart, Tobias Friedrich, Steven Gustafson,
Gregory S. Hornby, Christian Igel, Tim Kovacs, Dario Landa-Silva,
Fernando G. Lobo, Gisele Lobo Pappa, Jose A. Lozano, Silja
Meyer-Nieberg, Alison Motsinger, Frank Neumann, Gabriela Ochoa,
Gustavo Olague, Yew-Soon Ong, Martin Pelikan, David Pelta, Clara
Pizzuti, Mike Preuss, Jonathan Rowe, Stephen Leslie Smith, Christine
Solnon, Giovanni Squillero, Daniel Tauritz, Man Leung Wong, Shin Yoo, and
Tina Yu, eds.: Proceedings of the Fourteenth International Conference on
Genetic and Evolutionary Computation (GECCO 2012), ACM Press, 2012
Andreas König, Mario Köppen, Ajith Abraham,
Christian Igel, and Nikola Kasabov, eds.: International Conference on Hybrid
Intelligent Systems (HIS 2007), IEEE Computer Society, 2007
Theses
Christian Igel. Optimization of Support Vector Machines, Habiltation thesis, Faculty of Electrical Engineering and Information Technology, Ruhr-Universität Bochum, 2010
Christian Igel. Beiträge zum Entwurf neuronaler
Systeme, Doctoral thesis, University of Bielefeld, Faculty of
Technology, Shaker-Verlag, Aachen, Germany,
ISBN: 3-8322-1103-9
Christian Igel. Untersuchungen zur Kettenregel für Fuzzy-Regeln und Regelbasen mit
implikationsbasierter Semantik, Diploma thesis, University of Dortmund, Department of Computer Science, 1997
Abstracts and not peer-reviewed contributions to conferences
Lauge
Sørensen, A. Pai, S. Darkner, J. Suhy, J. Oh, G. Chen, C. Igel,
M. Nielsen.
Hippocampal Texture Provides Volume Independent Information
for Alzheimer’s Disease Diagnosis. Alzheimer's & Dementia: The Journal of the
Alzheimer’s Association 8(4) supplement, P162–P163, 2012
Lauge
Sørensen, A. Pai, S. Darkner, J. Suhy, J. Oh, G. Chen, C. Igel,
M. Nielsen.
Hippocampal Texture Provides Volume Independent Information
for Alzheimer’s Diagnosis. Alzheimer's & Dementia: The Journal of the
Alzheimer’s Association 8(4), supplement, P15, IC-P-013, 2012
Asja Fischer and Christian Igel.
Challenges in Training Restricted Boltzmann Machines.
In B. Hammer and T. Villmann, eds.: New Challenges in Neural Computation (NC2),
Machine Learning Reports 04/2010, pp. 11–24, 2010
Verena Heidrich-Meisner and Christian Igel.
Direct policy search: Intrinsic versus extrinsic perturbations.
In B. Hammer and T. Villmann, eds.: New Challenges in Neural Computation (NC2),
Machine Learning Reports 04/2010, pp. 33–39, 2010
Valentin Markounikau, Christian Igel, and Dirk Jancke. Neural Field Models
of Early Cortical Processing of Real and Apparent Motion. In:
Computational Vision and Neuroscience Symposium, p. 36. Max Planck
Institute for Biological Cybernetics, Tübingen, 2008
Christian Igel. Efficient Covariance Matrix Update
for Evolution Strategies. In D. V. Arnold, A. Auger, J. E. Rowe, and C. Witt, eds.: Theory of Evolutionary Algorithms, Dagstuhl Seminar Proceedings 08051,
Abstract Collection. Internationales Begegnungs- und Forschungszentrum für Informatik
(IBFI), Schloss Dagstuhl, 2008
Jennifer Meyer, Dirk Jancke,
and Christian Igel. Modelling cortical activity underlying
apparent and real motion perception. In K.-A. Hossmann, ed.:
Symposium `Neuro-Visionen 4, Perspektiven in
Nordrhein-Westfalen', pp. 257-258. Verlag Ferdinand Schöningh, 2007
Christian Igel. Computational Efficient Covariance Matrix Update and the Multi-objective Variable
Metric Evolution Strategy. In D. V. Arnold, T. Jansen, J. E. Rowe, and M. D. Vose, eds.: Theory of Evolutionary Algorithms, Dagstuhl Seminar Proceedings 06061,
Abstract Collection. Internationales Begegnungs- und Forschungszentrum für Informatik
(IBFI), Schloss Dagstuhl, 2006
Christian Igel. The Bias-Invariance Dilemma. In K. Bellman, P. Hofmann, C. Müller-Schloer,
H. Schmeck, and R.Würtz, eds.: Organic Computing - Controlled Emergence, Dagstuhl Seminar Proceedings 06031, Abstract Collection. Internationales Begegnungs- und
Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, 2006
Jennifer Meyer, Christian Igel, and Dirk Jancke. Modelling dynamic
activity patterns in early visual cortex based on voltage sensitive
dye experiments. In K.-A. Hossmann, ed.: Symposium `Neuro-Visionen 3, Perspektiven in
Nordrhein-Westfalen', pp. 193-195. Verlag Ferdinand Schöningh,
2006
Christian Igel: Recent Results on No-Free-Lunch for Optimization. In H.-G. Beyer, T. Jansen, C. Reeves, and M. D. Vose, eds.: Theory of Evolutionary Algorithms, Dagstuhl Seminar Proceedings 04081, Abstract Collection. Internationales Begegnungs- und Forschungszentrum
für Informatik (IBFI), Schloss Dagstuhl, 2004.
Christian Igel and Werner von Seelen.
Design of a Field Model for Early Vision: A Case Study of Evolutionary Algorithms in Neuroscience.
In N. Elsner and G. W. Kreutzberg, eds.:
Göttingen Neurobiology Report 2001, Volume 2, p. 1034, Georg Thieme Verlag, 2001
Michael Hüsken, Christian Igel,
and Marc
Toussaint. Task-Dependent Evolution of Modularity in Neural Networks -
A Quantitative Case Study. In Erik D. Goodman, ed.: Late Breaking Papers at the 2001 Genetic and Evolutionary
Computation Conference, pp. 187-193, 2001
Jens Busse, Hans-Jürgen Röhm, Sascha Wenzel, Gerd Emmrich, and Christian Igel.
Zur Auslegung von thermisch und stofflich gekoppelten Destillationskolonnen mit evulutionären Algorithmen, GVC / DECHEMA Fachausschuss Prozess- und Anlagentechnik, 2001
Technical reports
Ürün Dogan, Tobias Glasmachers, and Christian Igel.
Fast Training of Multi-class Support Vector Machines.
Technical Report no. 03/2011, Department of Computer Science,
Faculty of Science, University of Copenhagen, 2011
Christian Igel, Nikolaus Hansen, and Stefan Roth.
The Multi-objective Variable Metric Evolution Strategy, Part I.
Technical Report, IRINI-2001-04,
Institut für Neuroinformatik, 2005
Tobias Glasmachers and Christian
Igel. Maximum-Gain Working Set Selection for Support Vector Machines.
Technical Report, IRINI-2005-03, Institut für Neuroinformatik,
2005 source code and supplementary information
Jens Niehaus, Christian Igel, and Wolfgang
Banzhaf.
Graph Genetic Programming and Neutrality.
Technical Report, IRINI-2005-02,
Institut für Neuroinformatik, 2005
Britta Mersch, Nico Pfeifer, Tobias Glasmachers, Peter Meinicke, and Christian Igel. Gradient-based Optimization of
Kernel-Target Alignment for Sequence Kernels
Technical Report, IRINI-2005-01,
Institut für Neuroinformatik, 2005
Christian Igel and Martin Kreutz.
Operator Adaptation in Evolutionary Computation and
its Application to Structure Optimization of Neural Networks.
Technical Report, IRINI-2001-03,
Institut für Neuroinformatik, 2001