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Publications

Displaying results 241 to 250 of 13864.

  1. Benjamin Hättasch; Jan-Micha Bodensohn; Carsten Binnig

    ASET: Ad-hoc Structured Exploration of Text Collections [Extended Abstract]

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2203.04663, Pages 0-10, arXiv, 2022.

  2. Matthias Jasny; Lasse Thostrup; Tobias Ziegler; Carsten Binnig

    P4DB - The Case for In-Network OLTP

    In: Zachary G. Ives; Angela Bonifati; Amr El Abbadi (Hrsg.). SIGMOD '22: International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2022), June 12-17, Philadelphia, PA, USA, Pages 1375-1389, ACM, 2022.

  3. Nils Boeschen; Carsten Binnig

    GaccO - A GPU-accelerated OLTP DBMS

    In: Zachary G. Ives; Angela Bonifati; Amr El Abbadi (Hrsg.). SIGMOD '22: International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2022), June 12-17, Philadelphia, PA, USA, Pages 1003-1016, ACM, 2022.

  4. Martin Mladenov; Amir Globerson; Kristian Kersting

    Lifted Message Passing as Reparametrization of Graphical Models

    In: Nevin L. Zhang; Jin Tian (Hrsg.). Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2014), July 23-27, Quebec City, Quebec, Canada, Pages 603-612, AUAI Press, 2014.

  5. David Poole; David Buchman; Seyed Mehran Kazemi; Kristian Kersting; Sriraam Natarajan

    Population Size Extrapolation in Relational Probabilistic Modelling

    In: Umberto Straccia; Andrea Calì (Hrsg.). Scalable Uncertainty Management - 8th International Conference, SUM 2014, Proceedings. International Conference on Scalable Uncertainty Management (SUM-2014), September 15-17, Oxford, United Kingdom, Pages 292-305, Lecture Notes in Computer Science (LNAI), Vol. 8720, Springer, 2014.

  6. Daniel Hernández-Lobato; Viktoriia Sharmanska; Kristian Kersting; Christoph H. Lampert; Novi Quadrianto

    Mind the Nuisance: Gaussian Process Classification using Privileged Noise

    In: Zoubin Ghahramani; Max Welling; Corinna Cortes; Neil D. Lawrence; Kilian Q. Weinberger (Hrsg.). Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014. Neural Information Processing Systems (NeurIPS-2014), December 8-13, Montreal, Quebec, Canada, Pages 837-845, Curran Associates, Inc. 2014.

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

    Effectively Creating Weakly Labeled Training Examples via Approximate Domain Knowledge

    In: Jesse Davis; Jan Ramon (Hrsg.). Inductive Logic Programming - 24th International Conference. International Conference on Inductive Logic Programming (ILP-2014), September 14-16, Nancy, France, Pages 92-107, Lecture Notes in Computer Science, Vol. 9046, Springer, 2014.

  8. Marion Neumann; Lisa Hallau; Benjamin Klatt; Kristian Kersting; Christian Bauckhage

    Erosion Band Features for Cell Phone Image Based Plant Disease Classification

    In: 22nd International Conference on Pattern Recognition. International Conference on Pattern Recognition (ICPR-2014), August 24-28, Stockholm, Sweden, Pages 3315-3320, IEEE Computer Society, 2014.

  9. Shuo Yang; Tushar Khot; Kristian Kersting; Gautam Kunapuli; Kris Hauser; Sriraam Natarajan

    Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach

    In: Ravi Kumar; Hannu Toivonen; Jian Pei; Joshua Zhexue Huang; Xindong Wu (Hrsg.). 2014 IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2014), December 14-17, Shenzhen, China, Pages 1085-1090, IEEE Computer Society, 2014.

  10. Nils M. Kriege; Marion Neumann; Kristian Kersting; Petra Mutzel

    Explicit Versus Implicit Graph Feature Maps: A Computational Phase Transition for Walk Kernels

    In: Ravi Kumar; Hannu Toivonen; Jian Pei; Joshua Zhexue Huang; Xindong Wu (Hrsg.). 2014 IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2014), December 14-17, Shenzhen, China, Pages 881-886, IEEE Computer Society, 2014.

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