Skip to main content Skip to main navigation

Publications

Displaying results 1171 to 1180 of 14744.

  1. Kristian Kersting

    Invited Talk: Increasing Representational Power and Scaling Inference in Reinforcement Learning

    In: Scott Sanner; Marcus Hutter (Hrsg.). Recent Advances in Reinforcement Learning - 9th European Workshop. European Workshop on Reinforcement Learning (EWRL-2011), September 9-11, Athens, Greece, Lecture Notes in Computer Science, Vol. 7188, Springer, 2011.

  2. Mirwaes Wahabzada; Kristian Kersting; Anja Pilz; Christian Bauckhage

    More influence means less work: fast latent dirichlet allocation by influence scheduling

    In: Craig Macdonald; Iadh Ounis; Ian Ruthven (Hrsg.). Proceedings of the 20th ACM Conference on Information and Knowledge Management. ACM International Conference on Information and Knowledge Management (CIKM-2011), October 24-28, Glasgow, United Kingdom, Pages 2273-2276, ACM, 2011.

  3. Marion Neumann; Babak Ahmadi; Kristian Kersting

    Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation

    In: Wolfram Burgard; Dan Roth (Hrsg.). Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2011), August 7-11, San Francisco, CA, USA, Pages 447-452, AAAI Press, 2011.

  4. Hendrik Blockeel; Karsten M. Borgwardt; Luc De Raedt; Pedro M. Domingos; Kristian Kersting; Xifeng Yan

    Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning

    In: Machine Learning, Vol. 83, No. 2, Pages 133-135, Springer, 2011.

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

    Convex non-negative matrix factorization for massive datasets

    In: Knowledge and Information Systems (KAIS), Vol. 29, No. 2, Pages 457-478, Springer, 2011.

  6. Hendrik Blockeel; Kristian Kersting; Siegfried Nijssen; Filip Zelezný

    A Revised Publication Model for ECML PKDD

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1207.6324, Pages 0-10, arXiv, 2012.

  7. Hyungmin Kim; Sungho Suh; Daehwan Kim; Daun Jeong; Hansang Cho; Junmo Kim

    Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery

    In: IEEE/CVF International Conference on Computer Vision. International Conference on Computer Vision (ICCV-2023), October 2-5, Paris, France, IEEE/CVF, 10/2023.

  8. Yunmin Cho; Lala Ray; Kundan Sai Prabhu Thota; Sungho Suh; Paul Lukowicz

    ClothFit: Cloth-Human-Attribute Guided Virtual Try-On Network Using 3D Simulated Dataset

    In: IEEE International Conference on Image Processing (ICIP). IEEE International Conference on Image Processing (ICIP-2023), October 8-11, Kuala Lumpur, Malaysia, IEEE, 10/2023.

  9. Hymalai Bello; Luis Sanchez; Sungho Suh; Bo Zhou; Paul Lukowicz

    InMyFace: Inertial and mechanomyography-based sensor fusion for wearable facial activity recognition

    In: Information Fusion, Vol. 99, Page 101886, Elsevier, 11/2023.

  10. Chonghyo Joo; Jeongdong Kim; Hyungtae Cho; Jaewon Lee; Sungho Suh; Junghwan Kim

    Chemical Property-Guided Neural Networks for Naphtha Composition Prediction

    In: IEEE International Conference on Industrial Informatics. IEEE International Conference on Industrial Informatics (INDIN-2023), July 18-20, Lemgo, Germany, IEEE, 7/2023.

Year

More options