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Publications

Displaying results 31 to 40 of 1121.
  1. Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting

    In: Springer (Hrsg.). Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting. International Conference on …

  2. DeepLSF: Fusing Knowledge and Data for Time Series Forecasting

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. NA, Page NA, IEEE, 2023.

  3. Implicitly Solved Regularization for Learning-Based Image Registration

    In: Xiaohuan Cao; Xuanang Xu; Islem Rekik; Zhiming Cui; Xi Ouyang (Hrsg.). Machine Learning in Medical Imaging. International Workshop on Machine …

  4. Luc De Raedt; Angelika Kimmig; Bernd Gutmann; Kristian Kersting; Vítor Santos Costa; Hannu Toivonen

    Probabilistic Inductive Querying Using ProbLog

    In: Saso Dzeroski; Bart Goethals; Pance Panov (Hrsg.). Inductive Databases and Constraint-Based Data Mining. Pages 229-262, Springer, 2010.

  5. Kristian Kersting; Mirwaes Wahabzada; Christian Thurau; Christian Bauckhage

    Hierarchical Convex NMF for Clustering Massive Data

    In: Masashi Sugiyama; Qiang Yang (Hrsg.). Proceedings of the 2nd Asian Conference on Machine Learning. Asian Conference on Machine Learning …

  6. Zhao Xu; Kristian Kersting; Thorsten Joachims

    Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes

    In: José L. Balcázar; Francesco Bonchi; Aristides Gionis; Michèle Sebag (Hrsg.). Machine Learning and Knowledge Discovery in Databases, European …

  7. Tobias Lang; Marc Toussaint; Kristian Kersting

    Exploration in Relational Worlds

    In: José L. Balcázar; Francesco Bonchi; Aristides Gionis; Michèle Sebag (Hrsg.). Machine Learning and Knowledge Discovery in Databases, European …

  8. Novi Quadrianto; Kristian Kersting; Tinne Tuytelaars; Wray L. Buntine

    Beyond 2D-grids: a dependence maximization view on image browsing

    In: James Ze Wang; Nozha Boujemaa; Nuria Oliver Ramirez; Apostol Natsev (Hrsg.). Proceedings of the 11th ACM SIGMM International Conference on …

  9. Jens Behley; Kristian Kersting; Dirk Schulz; Volker Steinhage; Armin B. Cremers

    Learning to hash logistic regression for fast 3D scan point classification

    In: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …

  10. Sriraam Natarajan; Gautam Kunapuli; Kshitij Judah; Prasad Tadepalli; Kristian Kersting; Jude W. Shavlik

    Multi-Agent Inverse Reinforcement Learning

    In: Sorin Draghici; Taghi M. Khoshgoftaar; Vasile Palade; Witold Pedrycz; M. Arif Wani; Xingquan Zhu (Hrsg.). The Ninth International Conference on …