Christian Igel

Christian Igel

Professor

Medlem af:

    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


    1. 2008
    2. Uncertainty handling in evolutionary direct policy search

      Heidrich-Meisner, V. & Igel, Christian, 2008. 8 s.

      Publikation: KonferencebidragPaperForskningfagfællebedømt

    3. Uncertainty handling in model selection for support vector machines

      Glasmachers, T. & 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. (red.). Springer, s. 185-194 10 s. (Lecture notes in computer science, Bind 5199).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    4. Variable metric reinforcement learning methods applied to the noisy mountain car problem

      Heidrich-Meisner, V. & Igel, Christian, 2008, Recent Advances in Reinforcement Learning: 8th European Workshop, EWRL 2008, Villeneuve d’Ascq, France, June 30-July 3, 2008, Revised and Selected Papers. Girgin, S., Loth, M., Munos, R., Preux, P. & Ryabko, D. (red.). Springer, s. 136-150 15 s. (Lecture notes in computer science, Bind 5323).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    5. 2009
    6. 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 tidsskriftKonferenceabstrakt i tidsskriftForskningfagfællebedømt

    7. Contrastive divergence learning may diverge when training restricted Boltzmann machines

      Fischer, A. & Igel, Christian, 2009, I: Frontiers in Computational Neuroscience.

      Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningfagfællebedømt

    8. 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 tidsskriftTidsskriftartikelForskningfagfællebedømt

    9. Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search

      Heidrich-Meisner, V. & Igel, Christian, 2009, Proceedings of the 26th International Conference on Machine Learning (ICML 2009). Association for Computing Machinery, s. 401-408 8 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    10. Kernel-based machine learning techniques for hydroacoustic signal classification

      Tuma, M. & Igel, Christian, 2009, International Scientific Studies Conference (ISS09): book of abstracts. s. 25 1 s. DM-06/A

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

    11. Neuroevolution strategies for episodic reinforcement learning

      Heidrich-Meisner, V. & Igel, Christian, 2009, I: Journal of Algorithms. 64, 4, s. 152-168 17 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    12. Ontogenetic and phylogenetic reinforcement learning

      Togelius, J., Schaul, T., Wierstra, D., Igel, Christian, Gomez, F. & Schmidhuber, J., 2009, I: KI - Künstliche Intelligenz. 09, 3, s. 30-33 4 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    13. Recombination for learning strategy parameters in the MO-CMA-ES

      Voß, T., Hansen, N. & Igel, Christian, 2009, Evolutionary Multi-Criterion Optimization: 5th International Conference, EMO 2009, Nantes, France, April 7-10, 2009. Proceedings. Ehrgott, M., Fonseca, C. M., Gandibleux, X., Hao, J-K. & Sevaux, M. (red.). Springer, s. 155-168 14 s. (Lecture notes in computer science, Bind 5467).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    14. Second-order SMO for SVM online and active learning

      Igel, Christian, 2009, 23rd European Conference on Operational Research: book of abstracts. s. 162 1 s. TD-31

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

    15. Service: reinforcement learning

      Igel, Christian, 2009, I: KI - Künstliche Intelligenz. 24, 3, s. 44 pp

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    16. Toward registration of 3D ultrasound and CT images of the spine in clinical praxis: design and evaluation of a data acquisition protocol

      Winter, S., Pechlivanis, I., Dekomien, C., Igel, Christian & Schmieder, K., 2009, I: Ultrasound in Medicine & Biology. 35, 11, s. 1773-1782 10 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    17. Uncertainty handling CMA-ES for reinforcement learning

      Heidrich-Meisner, V. & Igel, Christian, 2009, Proceedings of the 11th Annual conference on Genetic and evolutionary computation: GECCO '09. Association for Computing Machinery, s. 1211-1218 8 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    18. Variable-metric evolution strategies for direct policy search

      Heidrich-Meisner, V. & Igel, Christian, 2009. 2 s.

      Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

    19. 2010
    20. A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imaging

      Markounikau, V., Igel, Christian, Grinvald, A. & Jancke, D., 2010, I: P L o S Computational Biology. 6, 9, 14 s., e1000919.

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    21. Automatic classification of hydroacoustic signals to support verification of the Comprehensive Nuclear-Test-Ban Treaty

      Tuma, M. & Igel, Christian, 2010, Second Joint Statistical Meeting Deutsche Arbeitsgemeinschaft Statistik "Statistics Under One Umbrella" (DAGStat 2010). s. 361 1 s.

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

    22. Bounding the bias of contrastive divergence used for maximum likelihood learning in restricted Boltzmann machines

      Fischer, A. & Igel, Christian, 2010. 1 s.

      Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

    23. Challenges in training restricted Boltzmann machines

      Fischer, A. & Igel, Christian, 2010, Workshop New Challenges in Neural Computation 2010. Hammer, B. & Villmann, T. (red.). s. 11-24 14 s. (Machine Learning Reports; Nr. 04/2010).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    24. Direct policy search: intrinsic vs. extrinsic perturbations

      Heidrich-Meisner, V. & Igel, Christian, 2010, Workshop New Challenges in Neural Computation . Hammer, B. & Villmann, T. (red.). s. 33-39 7 s. (Machine Learning Reports, Bind 04/2010).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    25. Editorial: special issue on organic computing

      Würtz, R. P., Bellman, K. L., Schmeck, H. & Igel, Christian, 2010, I: A C M Transactions on Autonomous and Adaptive Systems. 5, 3, s. 1-3 3 s.

      Publikation: Bidrag til tidsskriftLederForskning

    26. Efficient update of the covariance matrix inverse in iterated linear discriminant analysis

      Salmen, J., Schlipsing, M. & Igel, Christian, 2010, I: Pattern Recognition Letters. 31, 1, s. 1903 5 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    27. Empirical analysis of the divergence of Gibbs sampling based learning algorithms for restricted Boltzmann machines

      Fischer, A. & Igel, Christian, 2010, Artificial Neural Networks – ICANN 201: 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III. Diamantaras, K., Duch, W. & Iliadis, L. S. (red.). Springer, s. 208-217 10 s. (Lecture notes in computer science, Bind 6354).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    28. Evolutionary kernel learning

      Igel, Christian, 2010, Encyclopedia of machine learning. Sammut, C. & Webb, G. I. (red.). Springer, 4 s.

      Publikation: Bidrag til bog/antologi/rapportEncyclopædiartikelForskningfagfællebedømt

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