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Publications

Displaying results 1691 to 1700 of 14517.

  1. Martin Mladenov; Leonard Kleinhans; Kristian Kersting

    Lifted Convex Quadratic Programming

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1606.04486, Pages 0-10, arXiv, 2016.

  2. Kristian Kersting; Christian Bauckhage; Mirwaes Wahabzada; Anne-Katrin Mahlein; Ulrike Steiner; Erich-Christian Oerke; Christoph Römer; Lutz Plümer

    Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants

    In: Jörg Lässig; Kristian Kersting; Katharina Morik (Hrsg.). Computational Sustainability. Pages 99-120, Studies in Computational Intelligence, Vol. 645, Springer, 2016.

  3. Mayukh Das; Yuqing Wu; Tushar Khot; Kristian Kersting; Sriraam Natarajan

    Scaling Lifted Probabilistic Inference and Learning Via Graph Databases

    In: Sanjay Chawla Venkatasubramanian; Wagner Meira Jr. (Hrsg.). Proceedings of the 2016 SIAM International Conference on Data Mining. SIAM International Conference on Data Mining (SDM-2016), May 5-7, Miami, FL, USA, Pages 738-746, ISBN 978-1-61197-434-8, SIAM, 2016.

  4. Joseph G. Taylor; Viktoriia Sharmanska; Kristian Kersting; David Weir; Novi Quadrianto

    Learning Using Unselected Features (LUFe)

    In: Subbarao Kambhampati (Hrsg.). Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2016), July 9-15, New York, NY, USA, Pages 2060-2066, IJCAI/AAAI Press, 2016.

  5. Christopher Morris; Nils M. Kriege; Kristian Kersting; Petra Mutzel

    Faster Kernels for Graphs with Continuous Attributes via Hashing

    In: Francesco Bonchi; Josep Domingo-Ferrer; Ricardo Baeza-Yates; Zhi-Hua Zhou; Xindong Wu (Hrsg.). IEEE 16th International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2016), December 12-15, Barcelona, Spain, Pages 1095-1100, IEEE Computer Society, 2016.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

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