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Displaying results 7 to 12 of 540.
  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. Sarah Elkasrawi; Hussein Elwy; Stephan Baumann; Christian Reuschling; Andreas Dengel

    Prediction of Social Trends Using Nearest Neighbors Time Series Matching and Semantic Similarity.

    In: Petra Perner (Hrsg.). Advances in Data Mining - 16th Industrial Conference, ICDM 2016 - Poster Proceedings. Industrial Conference on Data Mining …

  5. Maurice Rekrut; Kathleen Schwarz; Johannes Tröger; Jochen Britz; Jan Alexandersson

    User-Centered Design bei der Entwicklung der MOBIA-Fahrgast-Schnittstelle

    In: Daniel Bieber; Kathleen Schwarz. Mobilität für Ältere. Dienstleistungen für den ÖPNV im demografischen Wandel. Chapter 4, Pages 75-118, ISBN …

  6. Boris Belousov; Gerhard Neumann; Constantin A Rothkopf; Jan R Peters

    Catching heuristics are optimal control policies

    In: D. Lee; M. Sugiyama; U. Luxburg; I. Guyon; R. Garnett (Hrsg.). Neural Information Processing Systems. Neural Information Processing Systems …