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Publications

 

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Displaying results 71 to 80 of 574.
  1. Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1908.10149, Pages 1-13, arXiv, 8/2019.

  2. Shivesh Kumar

    Modular and Analytical Methods for Solving Kinematics and Dynamics of Series-Parallel Hybrid Robots

    PhD-Thesis, Universität Bremen: Informatik/Mathematik, 11/2019.

  3. Robot Navigation in Distorted Magnetic Fields

    PhD-Thesis, Universität Bremen, ISBN urn:nbn:de:gbv:46-00107804-10, 11/2019.

  4. Ralph Bergmann; Mirko Lenz; Stefan Ollinger; Maximilian Pfister

    Similarity Measures for Case-Based Retrieval of Natural Language Argument Graphs in Argumentation Machines

    In: Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference. International FLAIRS Conference …

  5. Semantic Textual Similarity Measures for Case-Based Retrieval of Argument Graphs

    In: Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2019), Otzenhausen, Germany, Pages 219-234, …

  6. Michael Benedikt; Kristian Kersting; Phokion G. Kolaitis; Daniel Neider

    Logic and Learning (Dagstuhl Seminar 19361)

    In: Dagstuhl Reports, Vol. 9, No. 9, Pages 1-22, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2019.

  7. Patrick Schramowski; Cigdem Turan; Sophie F. Jentzsch; Constantin A. Rothkopf; Kristian Kersting

    BERT has a Moral Compass: Improvements of ethical and moral values of machines

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1912.05238, Pages 0-10, arXiv, 2019.

  8. 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.

  9. 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.

  10. 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 …