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Publications

Displaying results 461 to 470 of 13876.

  1. Matthias Jasny; Tobias Ziegler; Tim Kraska; Uwe Röhm; Carsten Binnig

    DB4ML - An In-Memory Database Kernel with Machine Learning Support

    In: David Maier; Rachel Pottinger; AnHai Doan; Wang-Chiew Tan; Abdussalam Alawini; Hung Q. Ngo (Hrsg.). Proceedings of the 2020 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2020), June 14-19, Pages 159-173, ACM, 2020.

  2. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Learning a Partitioning Advisor for Cloud Databases

    In: David Maier; Rachel Pottinger; AnHai Doan; Wang-Chiew Tan; Abdussalam Alawini; Hung Q. Ngo (Hrsg.). Proceedings of the 2020 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2020), June 14-19, Pages 143-157, ACM, 2020.

  3. Robin Rehrmann; Martin Keppner; Wolfgang Lehner; Carsten Binnig; Arne Schwarz

    Workload merging potential in SAP Hybris

    In: Pinar Tözün; Alexander Böhm (Hrsg.). Proceedings of the 8th International Workshop on Testing Database Systems. International Workshop on Testing Database Systems (DBTest-2020), DBTest@SIGMOD 2020, June 19, Portland, OR, USA, Pages 7:1-7:6, ACM, 2020.

  4. Martin Mladenov; Vaishak Belle; Kristian Kersting

    The Symbolic Interior Point Method

    In: Satinder Singh; Shaul Markovitch (Hrsg.). Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2017), February 4-9, San Francisco, California, USA, Pages 1199-1205, AAAI Press, 2017.

  5. Youness Dehbi; Fabian Hadiji; Gerhard Gröger; Kristian Kersting; Lutz Plümer

    Statistical Relational Learning of Grammar Rules for 3D Building Reconstruction

    In: Transactions in GIS, Vol. 21, No. 1, Pages 134-150, Wiley, 2/2017.

  6. Kristian Kersting; Martin Mladenov; Pavel Tokmakov

    Relational linear programming

    In: Artificial Intelligence (AIJ), Vol. 244, Pages 188-216, Elsevier, 2017.

  7. Moritz Kulessa; Alejandro Molina; Carsten Binnig; Benjamin Hilprecht; Kristian Kersting

    Model-based Approximate Query Processing

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1811.06224, Pages 0-10, arXiv, 2018.

  8. Shuo Yang; Tushar Khot; Kristian Kersting; Sriraam Natarajan

    Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach

    In: Dale Schuurmans; Michael P. Wellman (Hrsg.). Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2016), February 12-17, Phoenix, Arizona, USA, Pages 2265-2271, AAAI Press, 2016.

  9. Marion Neumann; Roman Garnett; Christian Bauckhage; Kristian Kersting

    Propagation kernels: efficient graph kernels from propagated information

    In: Machine Learning, Vol. 102, No. 2, Pages 209-245, Springer, 2016.

  10. Piotr Szymanski; Tomasz Kajdanowicz; Kristian Kersting

    How Is a Data-Driven Approach Better than Random Choice in Label Space Division for Multi-Label Classification?

    In: Entropy, Vol. 18, No. 8, Pages 0-10, MDPI, 2016.

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