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. 2010
    2. 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

    3. 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

    4. 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

    5. 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 tidsskriftTidsskriftartikelfagfællebedømt

    6. 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

    7. 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

    8. 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/rapportKonferenceabstrakt i proceedingsForskning

    9. 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/rapportKonferenceabstrakt i proceedingsForskning

    10. 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 tidsskriftTidsskriftartikelfagfællebedømt

    11. 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 tidsskriftTidsskriftartikelfagfællebedømt

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