Christian Igel

Christian Igel

Professor

Member of:

    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


    1. 2008
    2. Approximation of Gaussian process regression models after training

      Suttorp, T. & Igel, Christian, 2008, ESANN 2008: 16th European Symposium on Artificial Neural Networks. D-side Publications, p. 427-432 6 p. ES2008-84

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    3. Efficient covariance matrix update for evolution strategies

      Igel, Christian, 2008, Theory of Evolutionary Algorithms. Arnold, D. V., Auger, A., Rowe, J. E. & Witt, C. (eds.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, p. 6 1 p. (Dagstuhl Seminar Proceedings, Vol. 08051).

      Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearch

    4. Evolution strategies for direct policy search

      Heidrich-Meisner, V. & Igel, Christian, 2008, Parallel Problem Solving from Nature – PPSN X: 10th International Conference, Dortmund, Germany, September 13-17, 2008. Proceedings. Rudolph, G., Jansen, T., Beume, N., Lucas, S. & Poloni, C. (eds.). Springer, p. 428-437 10 p. (Lecture notes in computer science, Vol. 5199).

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    5. Genesis of organic computing systems: coupling evolution and learning

      Igel, Christian & Sendhoff, B., 2008, Organic computing. p. 141-166 26 p. (Understanding Complex Systems).

      Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

    6. Learning behavioral policies using extrinsic perturbations on the level of synapses

      Heidrich-Meisner, V. & Igel, Christian, 2008, In: Frontiers in Computational Neuroscience.

      Research output: Contribution to journalConference abstract in journalpeer-review

    7. Registration of CT and intraoperative 3-D ultrasound images of the spine using evolutionary and gradient-based methods

      Winter, S., Brendel, B., Pechlivanis, I., Schmieder, K. & Igel, Christian, 2008, In: IEEE Transactions on Evolutionary Computation. 12, 3, p. 284-296 13 p.

      Research output: Contribution to journalJournal articlepeer-review

    8. Scalarization versus indicator-based selection in multi-objective CMA evolution strategies

      Voß, T., Beume, N., Rudolph, G. & Igel, Christian, 2008, IEEE Congress on Evolutionary Computation, 2008 CEC 2008.. IEEE, p. 3036-3043 8 p.

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    9. Second-order SMO improves SVM online and active learning

      Glasmachers, T. & Igel, Christian, 2008, In: Neural Computation. 20, 2, p. 374-382 9 p.

      Research output: Contribution to journalJournal articlepeer-review

    10. Shark

      Igel, Christian, Glasmachers, T. & Heidrich-Meisner, V., 2008, In: Journal of Machine Learning Research. 9, p. 993-996 4 p.

      Research output: Contribution to journalJournal articlepeer-review

    11. Similarities and differences between policy gradient methods and evolution strategies

      Heidrich-Meisner, V. & Igel, Christian, 2008, ESANN 2008: 16th European Symposium on Artificial Neural Networks. D-side Publications, p. 149-154 6 p. ES2008-47

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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