Christian Igel
Professor
Kommentarer til publikationsliste
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: http://image.diku.dk/igel
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, s. 487-494 8 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Maximum likelihood model selection for 1-norm soft margin SVMs with multiple parameters
Glasmachers, T. & Igel, Christian, 2010, I: IEEE Transactions on Pattern Analysis and Machine Intelligence. 32, 8, s. 1522-1528 7 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Neuroevolution strategies
Igel, Christian, 2010, Learning paradigms in dynamic environments. Hammer, B., Hitzler, P., Maass, W. & Toussaint, M. (red.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, s. 6 1 s. (Dagstuhl Seminar Proceedings, Bind 10302).Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
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. (red.). Springer, s. 260-269 10 s. (Lecture notes in computer science, Bind 6239).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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, s. 1975-1978 4 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Second-order SMO for SVM online learning
Igel, Christian, 2010, Learning paradigms in dynamic environments. Hammer, B., Hitzler, P., Maass, W. & Toussaint, M. (red.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, s. 5-6 2 s. (Dagstuhl Seminar Proceedings, Bind 10302).Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
Structure optimization of reservoir networks
Roeschies, B. & Igel, Christian, 2010, I: Logic Journal of the IGPL. 18, 5, s. 635-669 35 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 2009
A mesoscopic model of VSD dynamics observed in visual cortex induced by flashed and moving stimuli
Markounikau, V., Igel, Christian & Jancke, D., 2009, I: Frontiers in Computational Neuroscience.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
Contrastive divergence learning may diverge when training restricted Boltzmann machines
Fischer, A. & Igel, Christian, 2009, I: Frontiers in Computational Neuroscience.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
Efficient covariance matrix update for variable metric evolution strategies
Suttorp, T., Hansen, N. & Igel, Christian, 2009, I: Machine Learning. 75, 2, s. 167-197 31 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
ID: 22657401
Flest downloads
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4554
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Shape index descriptors applied to texture-based galaxy analysis
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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2314
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Buffer k-d trees: processing massive nearest neighbor queries on GPUs
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Udgivet -
1323
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Fast training of multi-class support vector machines
Publikation: Bog/antologi/afhandling/rapport › Rapport › Forskning
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