Christian Igel
Professor
Introductory remarks on publicationslist
This list of pubications is not fully complete.
For a complete list of older publications as well as papers and software available online please vist my old homepage: https://christian-igel.github.io
I also maintain a Google Scholar profile: https://scholar.google.dk/citations?user=d-jF4zIAAAAJ
- 2007
Reducing the number of fitness evaluations in graph genetic programming using a canonical graph indexed database
Niehaus, J., Igel, Christian & Banzhaf, W., 2007, In: Evolutionary Computation. 15, 2, p. 199-221 23 p.Research output: Contribution to journal › Journal article › Research › peer-review
Reinforcement learning in a nutshell
Heidrich-Meisner, V., Lauer, M., Igel, Christian & Riedmiller, M., 2007, ESANN 2007: 15th European Symposium on Artificial Neural Networks. D-side Publications, p. 277-288 12 p. ES2007-4Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Resilient approximation of kernel classifiers
Suttorp, T. & Igel, Christian, 2007, Artificial Neural Networks – ICANN 2007: 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I. de Sá, J. M., Alexandre, L. A., Duch, W. & Mandic, D. (eds.). Springer, Vol. Part I. p. 139-148 10 p. (Lecture notes in computer science, Vol. 4668).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Steady-state selection and efficient covariance matrix update in the multi-objective CMA-ES
Igel, Christian, Suttorp, T. & Hansen, N., 2007, Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007. Proceedings. Obayashi, S., Deb, K., Poloni, C., Hiroyasu, T. & Murata, T. (eds.). Springer, p. 171-185 15 p. (Lecture notes in computer science, Vol. 4403).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2006
A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies
Igel, Christian, Suttorp, T. & Hansen, N., 2006, Proceedings of the 8th annual Conference on Genetic and Evolutionary Computation: GECCO '06. Association for Computing Machinery, p. 453-460 8 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Computational efficient covariance matrix update and the multi-objective variable metric evolution strategy
Igel, Christian, 2006, Theory of Evolutionary Algorithms. Arnold, D. V., Jansen, T., Rowe, J. E. & Vose, M. D. (eds.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, p. 7 1 p. (Dagstuhl Seminar Proceedings, Vol. 06061).Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research
Evolutionary optimization of sequence kernels for detection of bacterial gene starts
Mersch, B., Glasmachers, T., Meinicke, P. & Igel, Christian, 2006, Artificial Neural Networks – ICANN 2006: 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part II. Kollias, S., Stafylopatis, A., Duch, W. & Oja, E. (eds.). Springer, p. 827-836 10 p. (Lecture notes in computer science, Vol. 4132).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Maximum-gain working set selection for support vector machines
Glasmachers, T. & Igel, Christian, 2006, In: Journal of Machine Learning Research. 7, p. 1437-1466 30 p.Research output: Contribution to journal › Journal article › Research › peer-review
Modelling dynamic activity patterns in early visual cortex based on voltage sensitive dye experiments
Meyer, J., Igel, Christian & Jancke, D., 2006, Neuro-Visionen 3. Perspektiven in Nordrhein-Westfalen: Symposium der Nordrhein-westfälischen Akademie der Wissenschaften 2005. Hossmann, K-A. (ed.). Verlag Ferdinand Schöningh, p. 193-195 3 p.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research
Multi-objective neural network optimization for visual object detection
Roth, S., Gepperth, A. & Igel, Christian, 2006, Multi-objective machine learning. Jin, Y. (ed.). Vol. V. p. 629-655 27 p. (Studies in Computational Intelligence, Vol. 16).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
ID: 22657401
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4538
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Shape index descriptors applied to texture-based galaxy analysis
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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2314
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Buffer k-d trees: processing massive nearest neighbor queries on GPUs
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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1307
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Fast training of multi-class support vector machines
Research output: Book/Report › Report › Research
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