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Zeige Ergebnisse 19 bis 24 von 784
  1. Benjamin Hilprecht; Carsten Binnig

    Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 15, No. 11, Pages 2361-2374, Association for Computing Machinery (ACM), 2022.

  2. Benjamin Hilprecht; Carsten Binnig

    One Model to Rule them All: Towards Zero-Shot Learning for Databases

    In: 12th Conference on Innovative Data Systems Research, CIDR 2022. Conference on Innovative Data Systems Research (CIDR-2022), January 9-12, …

  3. Sungho Suh; Sojeong Cheon; Wonseo Choi; Yeon Woong Chung; Won-Kyung Cho; Ji-Sun Paik; Sung Eun Kim; Dong-Jin Chang; Yong Oh Lee

    Supervised segmentation with domain adaptation for small sampled orbital CT images

    In: Journal of Computational Design and Engineering (JCDE), Vol. 9, No. 2, Pages 783-792, Oxford University Press, 4/2022.

  4. Bo Zhou; Sungho Suh; Vitor Fortes Rey; Carlos Andres Velez Altamirano; Paul Lukowicz

    Quali-mat: Evaluating the quality of execution in body-weight exercises with a pressure sensitive sports mat

    In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 6, No. 2, Pages 1-45, ACM New York, NY, USA, …

  5. Hamish Flynn; David Reeb; Melih Kandemir; Jan Peters

    PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2211.16110, Pages 0-10, arXiv, 2022.

  6. Hany Abdulsamad; Peter Nickl; Pascal Klink; Jan Peters

    Variational Hierarchical Mixtures for Learning Probabilistic Inverse Dynamics

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2211.01120, Pages 0-10, arXiv, 2022.