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Publikationen

Zeige Ergebnisse 21 bis 30 von 504.
  1. 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.

  2. Sriraam Natarajan; Jose Picado; Tushar Khot; Kristian Kersting; Christopher Ré; Jude W. Shavlik

    Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text

    In: Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2013), July 15, Bellevue, Washington, USA, AAAI Technical Report, Vol. WS-13-16, AAAI, 2013.

  3. Martin Mladenov; Kristian Kersting

    Lifted Inference via k-Locality

    In: Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2013), July 15, Bellevue, Washington, USA, AAAI Technical Report, Vol. WS-13-16, AAAI, 2013.

  4. Fabian Hadiji; Kristian Kersting

    Reduce and Re-Lift: Bootstrapped Lifted Likelihood Maximization for MAP

    In: Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2013), July 15, Bellevue, Washington, USA, AAAI Technical Report, Vol. WS-13-16, AAAI, 2013.

  5. Babak Ahmadi; Kristian Kersting; Sriraam Natarajan

    MapReduce Lifting for Belief Propagation

    In: Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2013), July 15, Bellevue, Washington, USA, AAAI Technical Report, Vol. WS-13-16, AAAI, 2013.

  6. Babak Ahmadi; Kristian Kersting; Martin Mladenov; Sriraam Natarajan

    Exploiting symmetries for scaling loopy belief propagation and relational training

    In: Machine Learning, Vol. 92, No. 1, Pages 91-132, Springer, 2013.

  7. Tobias Kowatsch; Wolfgang Maaß

    Towards Empirically Validated Ubiquitous Information Systems: Results From A Pretest And Three Empirical Studies

    In: 21st European Conference on Information Systems, ECIS 2013, Utrecht, The Netherlands, June 5-8, 2013. European Conference on Information Systems (ECIS), Springer, 2013.

  8. Wolfgang Maaß; Shahd Zahran

    Self-Controlled Production: Forecasting with Smart Sensor Technologies

    In: 23rd Workshop on Information Technology and Systems (WITS), Milan, Italy. Workshop on Information Technology and Systems (WITS), Springer, 2013.

  9. Tobias Kowatsch; Dirk Büchter; Irena Pletikosa Cvijikj; Runhua Xu; Björn Brogle; Anneco Dintheer; Dunja Wiegand; Wolfgang Maass

    Design and Preliminary Evaluation of a Mobile Application for Obesity Experts and Children Teams (Poster)

    2013.

  10. Thomas Röfer; Tim Laue; Judith Müller; Michel Bartsch; Malte Jonas Batram; Arne Böckmann; Martin Böschen; Martin Kroker; Florian Maaß; Thomas Münder; Marcel Steinbeck; Andreas Stolpmann; Simon Taddiken; Alexis Tsogias; Felix Wenk

    B-Human Team Report and Code Release 2013

    2013.