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Publications

Displaying results 1491 to 1500 of 13791.

  1. 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.

  2. 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.

  3. Kristian Kersting; Luc De Raedt; Bernd Gutmann; Andreas Karwath; Niels Landwehr

    Relational Sequence Learning

    In: Luc De Raedt; Paolo Frasconi; Kristian Kersting; Stephen H. Muggleton (Hrsg.). Probabilistic Inductive Logic Programming - Theory and Applications. Pages 28-55, Lecture Notes in Computer Science, Vol. 4911, Springer, 2008.

  4. Abdallah Salama; Alexander Linke; Igor Pessoa Rocha; Carsten Binnig

    XAI: A Middleware for Scalable AI

    In: Slimane Hammoudi; Christoph Quix; Jorge Bernardino (Hrsg.). Proceedings of the 8th International Conference on Data Science, Technology and Applications. International Conference on Data Science, Technology and Applications (DATA-2019), July 26-28, Prague, Czech Republic, Pages 109-120, SciTePress, 2019.

  5. Kayhan Dursun; Carsten Binnig; Ugur Çetintemel; Garret Swart; Weiwei Gong

    A Morsel-Driven Query Execution Engine for Heterogeneous Multi-Cores

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 12, No. 12, Pages 2218-2229, Association for Computing Machinery (ACM), 2019.

  6. Lukas Berg; Tobias Ziegler; Carsten Binnig; Uwe Röhm

    ProgressiveDB - Progressive Data Analytics as a Middleware

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 12, No. 12, Pages 1814-1817, Association for Computing Machinery (ACM), 2019.

  7. Muhammad El-Hindi; Carsten Binnig; Arvind Arasu; Donald Kossmann; Ravi Ramamurthy

    BlockchainDB - A Shared Database on Blockchains

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 12, No. 11, Pages 1597-1609, Association for Computing Machinery (ACM), 2019.

  8. Nathaniel Weir; Prasetya Utama; Alex Galakatos; Andrew Crotty; Amir Ilkhechi; Shekar Ramaswamy; Rohin Bhushan; Nadja Geisler; Benjamin Hättasch; Steffen Eger; Ugur Çetintemel; Carsten Binnig

    DBPal: A Fully Pluggable NL2SQL Training Pipeline

    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 2347-2361, ACM, 2020.

  9. Tiemo Bang; Ismail Oukid; Norman May; Ilia Petrov; Carsten Binnig

    Robust Performance of Main Memory Data Structures by Configuration

    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 1651-1666, ACM, 2020.

  10. Leilani Battle; Philipp Eichmann; Marco Angelini; Tiziana Catarci; Giuseppe Santucci; Yukun Zheng; Carsten Binnig; Jean-Daniel Fekete; Dominik Moritz

    Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data

    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 1571-1587, ACM, 2020.

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