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
- 2010
Improved step size adaptation for the MO-CMA-ES
Voß, T., Hansen, N. & Igel, Christian, 2010, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010). Association for Computing Machinery, p. 487-494 8 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Maximum likelihood model selection for 1-norm soft margin SVMs with multiple parameters
Glasmachers, T. & Igel, Christian, 2010, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 32, 8, p. 1522-1528 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
Neuroevolution strategies
Igel, Christian, 2010, Learning paradigms in dynamic environments. Hammer, B., Hitzler, P., Maass, W. & Toussaint, M. (eds.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, p. 6 1 p. (Dagstuhl Seminar Proceedings, Vol. 10302).Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research
New uncertainty handling strategies in multi-objective evolutionary optimization
Voß, T., Trautmann, H. & Igel, Christian, 2010, Parallel Problem Solving from Nature, PPSN XI: 11th International Conference, Kraków, Poland, September 11-15, 2010. Proceedings, Part II. Schaefer, R., Cotta, C., Kołodziej, J. & Rudolph, G. (eds.). Springer, p. 260-269 10 p. (Lecture notes in computer science, Vol. 6239).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Scaling up indicator-based MOEAs by approximating the least hypervolume contributor: a preliminary study
Voß, T., Friedrich, T., Bringmann, K. & Igel, Christian, 2010, Proceedings of the 12th annual conference on Genetic and Evolutionary Computation: GECCO '10. Association for Computing Machinery, p. 1975-1978 4 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Second-order SMO for SVM online learning
Igel, Christian, 2010, Learning paradigms in dynamic environments. Hammer, B., Hitzler, P., Maass, W. & Toussaint, M. (eds.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, p. 5-6 2 p. (Dagstuhl Seminar Proceedings, Vol. 10302).Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research
Structure optimization of reservoir networks
Roeschies, B. & Igel, Christian, 2010, In: Logic Journal of the IGPL. 18, 5, p. 635-669 35 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 2009
A mesoscopic model of VSD dynamics observed in visual cortex induced by flashed and moving stimuli
Markounikau, V., Igel, Christian & Jancke, D., 2009, In: Frontiers in Computational Neuroscience.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
Contrastive divergence learning may diverge when training restricted Boltzmann machines
Fischer, A. & Igel, Christian, 2009, In: Frontiers in Computational Neuroscience.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
Efficient covariance matrix update for variable metric evolution strategies
Suttorp, T., Hansen, N. & Igel, Christian, 2009, In: Machine Learning. 75, 2, p. 167-197 31 p.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 22657401
Most downloads
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4557
downloads
Shape index descriptors applied to texture-based galaxy analysis
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
2314
downloads
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
Published -
1330
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Fast training of multi-class support vector machines
Research output: Book/Report › Report › Research
Published