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Publikationen

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  1. 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 …

  2. 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.

  3. 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.

  4. Gabriel Lyons; Vinh Tran; Carsten Binnig; Ugur Çetintemel; Tim Kraska

    Making the Case for Query-by-Voice with EchoQuery

    In: Fatma Özcan; Georgia Koutrika; Sam Madden (Hrsg.). Proceedings of the 2016 International Conference on Management of Data. ACM SIGMOD …

  5. Andrew Crotty; Alex Galakatos; Emanuel Zgraggen; Carsten Binnig; Tim Kraska

    The case for interactive data exploration accelerators (IDEAs)

    In: Carsten Binnig; Alan D. Fekete; Arnab Nandi (Hrsg.). Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA@SIGMOD. Workshop on …

  6. Muhammad El-Hindi; Zheguang Zhao; Carsten Binnig; Tim Kraska

    VisTrees: fast indexes for interactive data exploration

    In: Carsten Binnig; Alan D. Fekete; Arnab Nandi (Hrsg.). Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA@SIGMOD. Workshop on …