Morten Mørup

  1. 2013
  2. Published

    Large scale inference in the Infinite Relational Model: Gibbs sampling is not enough. / Albers, Kristoffer Jon; Moth, Andreas Leon Aagard; Mørup, Morten; Schmidt, Mikkel Nørgaard.

    2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2013. (Machine Learning for Signal Processing).

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2013

  3. Published

    Modeling Temporal Evolution and Multiscale Structure in Networks. / Herlau, Tue; Mørup, Morten; Schmidt, Mikkel Nørgaard.

    Proceedings of the 30 th International Conference on Machine Learning. 2013. p. 960-968 (JMLR: Workshop and Conference Proceedings; No. Cycle 3, Vol. 28).

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2013

  4. Published

    Nonparametric Bayesian Modeling of Complex Networks : An Introduction. / Schmidt, Mikkel Nørgaard; Mørup, Morten.

    In: I E E E - Signal Processing Magazine, Vol. 30, No. 3, 2013, p. 110-128.

    Publication: Research - peer-reviewJournal article – Annual report year: 2013

  5. Published

    Unsupervised knowledge structuring Application of Infinite Relational Models to the FCA visualization. / Glückstad, Fumiko Kano; Herlau, Tue; Schmidt, Mikkel Nørgaard; Mørup, Morten.

    2013 International Conference on Signal-Image Technology & Internet-Based Systems. IEEE, 2013. p. 233-240.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2013

  6. 2012
  7. Published

    A Bayesian Analysis of the Radioactive Releases of Fukushima. / Tomioka, Ryota; Mørup, Morten.

    Proceedings of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS) 2012: AISTATS 2012 Proceedings. Vol. 22 Microtome Publishing, 2012. p. 1243-1251 (JMLR: Workshop and Conference Proceedings, Vol. 22).

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

  8. Published

    Application of the Infinite Relational Model combined with the Bayesian Model of Generalization for Effective Cross-Cultural Knowledge Transfer. / Glückstad, Fumiko Kano; Mørup, Morten.

    The 26th Annual Conference of the Japanese Society for Artificial Intelligence, 2012. 2012.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

  9. Published

    Archetypal analysis for machine learning and data mining. / Mørup, Morten; Hansen, Lars Kai.

    In: Neurocomputing, Vol. 80, 2012, p. 54–63.

    Publication: Research - peer-reviewJournal article – Annual report year: 2011

  10. Published

    Bayesian community detection.. / Mørup, Morten; Schmidt, Mikkel N.

    In: Neural Computation, Vol. 24, No. 9, 2012, p. 2434-2456.

    Publication: Research - peer-reviewJournal article – Annual report year: 2012

  11. Published

    Detecting Hierarchical Structure in Networks. / Herlau, Tue; Mørup, Morten; Schmidt, Mikkel Nørgaard; Hansen, Lars Kai.

    2012 3rd International Workshop on Cognitive Information Processing (CIP). IEEE, 2012.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

  12. Published

    Feature-based Ontology Mapping from an Information Receivers’ Viewpoint. / Glückstad, Fumiko Kano; Mørup, Morten.

    Proceedings of the 9th International Workshop on Natural Language Processing and Cognitive Science, NLPCS 2012. SciTePress, 2012. p. 34-43.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

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