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Publications

Displaying results 2611 to 2620 of 14429.

  1. Kristian Kersting

    An inductive logic programming approach to statistical relational learning

    In: AI Communications (AIC), Vol. 19, No. 4, Pages 389-390, IOS Press, 2006.

  2. Luc De Raedt; Thomas G. Dietterich; Lise Getoor; Kristian Kersting; Stephen H. Muggleton (Hrsg.)

    07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis

    Probabilistic, Logical and Relational Learning - A Further Synthesis, April 14-20, Schloss Dagstuhl, Germany, Dagstuhl Seminar Proceedings, Vol. 07161, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany, 2007.

  3. Kristian Kersting; Christian Plagemann; Patrick Pfaff; Wolfram Burgard

    Most likely heteroscedastic Gaussian process regression

    In: Zoubin Ghahramani (Hrsg.). Machine Learning, Proceedings of the Twenty-Fourth International Conference. International Conference on Machine Learning (ICML-2007), Pages 393-400, ACM International Conference Proceeding Series, Vol. 227, ACM, 2007.

  4. Kristian Kersting; Christian Plagemann; Alexandru Cocora; Wolfram Burgard; Luc De Raedt

    Learning to transfer optimal navigation policies

    In: Advanced Robotics, Vol. 21, No. 13, Pages 1565-1582, Taylor & Francis Online, 2007.

  5. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Learning a Partitioning Advisor with Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1904.01279, Pages 0-10, arXiv, 2019.

  6. Muhammad El-Hindi; Martin Heyden; Carsten Binnig; Ravi Ramamurthy; Arvind Arasu; Donald Kossmann

    BlockchainDB - Towards a Shared Database on Blockchains

    In: Peter A. Boncz; Stefan Manegold; Anastasia Ailamaki; Amol Deshpande; Tim Kraska (Hrsg.). Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019. ACM SIGMOD International Conference on Management of Data (SIGMOD-2019), June 30 - July 5, Amsterdam, Netherlands, Pages 1905-1908, ACM, 2019.

  7. Alex Galakatos; Michael Markovitch; Carsten Binnig; Rodrigo Fonseca; Tim Kraska

    FITing-Tree: A Data-aware Index Structure

    In: Peter A. Boncz; Stefan Manegold; Anastasia Ailamaki; Amol Deshpande; Tim Kraska (Hrsg.). Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019. ACM SIGMOD International Conference on Management of Data (SIGMOD-2019), June 30 - July 5, Amsterdam, Netherlands, Pages 1189-1206, ACM, 2019.

  8. Zeyuan Shang; Emanuel Zgraggen; Benedetto Buratti; Ferdinand Kossmann; Philipp Eichmann; Yeounoh Chung; Carsten Binnig; Eli Upfal; Tim Kraska

    Democratizing Data Science through Interactive Curation of ML Pipelines

    In: Peter A. Boncz; Stefan Manegold; Anastasia Ailamaki; Amol Deshpande; Tim Kraska (Hrsg.). Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019. ACM SIGMOD International Conference on Management of Data (SIGMOD-2019), June 30 - July 5, Amsterdam, Netherlands, Pages 1171-1188, ACM, 2019.

  9. Benjamin Hättasch; Christian M. Meyer; Carsten Binnig

    Interactive Summarization of Large Document Collections

    In: Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA@SIGMOD 2019. Workshop on Human-In-the-Loop Data Analytics (HILDA-2019), located at SIGMOD 2019, July 5, Amsterdam, Netherlands, Pages 9:1-9:4, ACM, 2019.

  10. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Towards learning a partitioning advisor with deep reinforcement learning

    In: Rajesh Bordawekar; Oded Shmueli (Hrsg.). Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management. International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM-2019), aiDM@SIGMOD, July 5, Amsterdam, Netherlands, Pages 6:1-6:4, ACM, 2019.

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