Browse by research area

  1. Influence of Effective Two- and Three-Particle Interactions on Atomic Fine Structure in Mixed Configurations (5d +6s)N

    Büttgenbach, S. & Jacobs, J., 01.06.1986, In: Zeitschrift für Physik D: Atoms, Molecules and Clusters. 1, 2, p. 183 - 190 8 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  2. Insights from classifying visual concepts with multiple kernel learning

    Binder, A., Nakajima, S., Kloft, M., Müller, C., Samek, W., Brefeld, U., Müller, K. R. & Kawanabe, M., 24.08.2012, In: PLoS ONE. 7, 8, e38897.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  3. Jackson networks in nonautonomous random environments

    Krenzler, R., Daduna, H. & Otten, S., 06.2016, In: Advances in Applied Probability. 48, 2, p. 315–331 17 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  4. Published

    Joint optimization of an autoencoder for clustering and embedding

    Boubekki, A., Kampffmeyer, M., Brefeld, U. & Jenssen, R., 01.07.2021, In: Machine Learning. 110, 7, p. 1901-1937 37 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  5. Latent trees for coreference resolution

    Fernandes, E. R., dos Santos, C. N. & Milidiú, R. L., 19.12.2014, In: Computational Linguistics. 40, 4, p. 801-835 35 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  6. Learning linear classifiers sensitive to example dependent and noisy costs

    Geibel, P., Brefeld, U. & Wysotzki, F., 01.01.2003, In: Lecture Notes in Computer Science. 2810, p. 167-178 12 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  7. Published

    Learning to Rate Player Positioning in Soccer

    Dick, U. & Brefeld, U., 01.03.2019, In: Big Data. 7, 1, p. 71-82 12 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  8. lp-Norm Multiple Kernel Learning

    Kloft, M., Brefeld, U., Sonnenburg, S. & Zien, A., 2011, In: Journal of Machine Learning Research. 2011, 12, p. 953-997 45 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. p-norm multiple kernel learning

    Kloft, M., Brefeld, U., Sonnenburg, S. & Zien, A., 03.2011, In: Journal of Machine Learning Research. 12, p. 953-997 45 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  10. Published

    Modeling the Clickstream Across Multiple Online Advertising Channels Using a Binary Logit With Bayesian Mixture of Normals

    Nottorf, F., 01.2014, In: Electronic Commerce Research and Applications. 13, 1, p. 45-55 11 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review