Skip to main content Skip to main navigation

Publications

Displaying results 861 to 870 of 15055.

  1. Fabrizio Ventola; Karl Stelzner; Alejandro Molina; Kristian Kersting

    Random Sum-Product Forests with Residual Links

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1908.03250, Pages 0-10, arXiv, 2019.

  2. Alejandro Molina; Antonio Vergari; Karl Stelzner; Robert Peharz; Pranav Subramani; Nicola Di Mauro; Pascal Poupart; Kristian Kersting

    SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1901.03704, Pages 0-10, arXiv, 2019.

  3. Robert Peharz; Antonio Vergari; Karl Stelzner; Alejandro Molina; Martin Trapp; Xiaoting Shao; Kristian Kersting; Zoubin Ghahramani

    Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

    In: Amir Globerson; Ricardo Silva (Hrsg.). Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2019), July 22-25, Tel Aviv, Israel, Pages 334-344, Proceedings of Machine Learning Research, Vol. 115, AUAI Press, 2019.

  4. Claas Völcker; Alejandro Molina; Johannes Neumann; Dirk Westermann; Kristian Kersting

    DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets

    In: Peggy Cellier; Kurt Driessens (Hrsg.). Machine Learning and Knowledge Discovery in Databases. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2019), International Workshops of ECML PKDD 2019, Proceedings, Part I, September 16-20, Würzburg, Germany, Pages 28-43, Communications in Computer and Information Science, Vol. 1167, Springer, 2019.

  5. Tobias Lang; Marc Toussaint; Kristian Kersting

    Exploration in relational domains for model-based reinforcement learning

    In: Journal of Machine Learning Research, Vol. 13, Pages 3725-3768, JMLR, 2012.

  6. Christian Thurau; Kristian Kersting; Mirwaes Wahabzada; Christian Bauckhage

    Descriptive matrix factorization for sustainability Adopting the principle of opposites

    In: Data Mining and Knowledge Discovery, Vol. 24, No. 2, Pages 325-354, Springer, 2012.

  7. Christian Bauckhage; Kristian Kersting

    Efficient Information Theoretic Clustering on Discrete Lattices

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1310.7114, Pages 0-10, arXiv, 2013.

  8. Fabian Hadiji; Kristian Kersting; Christian Bauckhage; Babak Ahmadi

    GeoDBLP: Geo-Tagging DBLP for Mining the Sociology of Computer Science

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1304.7984, Pages 0-10, arXiv, 2013.

  9. Christian Bauckhage; Kristian Kersting; Fabian Hadiji

    Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes

    In: Emre Kiciman; Nicole B. Ellison; Bernie Hogan; Paul Resnick; Ian Soboroff (Hrsg.). Proceedings of the Seventh International Conference on Weblogs and Social Media. International AAAI Conference on Web and Social Media (ICWSM-2013), July 8-11, Cambridge, Massachusetts, USA, The AAAI Press, 2013.

  10. Marion Neumann; Roman Garnett; Kristian Kersting

    Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels

    In: Cheng Soon Ong; Tu Bao Ho (Hrsg.). Asian Conference on Machine Learning, ACML 2013. Asian Conference on Machine Learning (ACML-2013), November 13-15, Canberra, Australia, Pages 357-372, JMLR Workshop and Conference Proceedings, Vol. 29, JMLR.org, 2013.

Year

More options