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Publications

Displaying results 1251 to 1260 of 13674.

  1. 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 Machine Learning and Applications. International Conference on Machine Learning (ICML-2010), December 12-14, USA, Pages 395-400, IEEE Computer Society, 2010.

  2. David Poole; David Buchman; Seyed Mehran Kazemi; Kristian Kersting; Sriraam Natarajan

    Population Size Extrapolation in Relational Probabilistic Modelling

    In: Umberto Straccia; Andrea Calì (Hrsg.). Scalable Uncertainty Management - 8th International Conference, SUM 2014, Proceedings. International Conference on Scalable Uncertainty Management (SUM-2014), September 15-17, Oxford, United Kingdom, Pages 292-305, Lecture Notes in Computer Science (LNAI), Vol. 8720, Springer, 2014.

  3. Daniel Hernández-Lobato; Viktoriia Sharmanska; Kristian Kersting; Christoph H. Lampert; Novi Quadrianto

    Mind the Nuisance: Gaussian Process Classification using Privileged Noise

    In: Zoubin Ghahramani; Max Welling; Corinna Cortes; Neil D. Lawrence; Kilian Q. Weinberger (Hrsg.). Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014. Neural Information Processing Systems (NeurIPS-2014), December 8-13, Montreal, Quebec, Canada, Pages 837-845, Curran Associates, Inc. 2014.

  4. Sriraam Natarajan; Jose Picado; Tushar Khot; Kristian Kersting; Christopher Ré; Jude W. Shavlik

    Effectively Creating Weakly Labeled Training Examples via Approximate Domain Knowledge

    In: Jesse Davis; Jan Ramon (Hrsg.). Inductive Logic Programming - 24th International Conference. International Conference on Inductive Logic Programming (ILP-2014), September 14-16, Nancy, France, Pages 92-107, Lecture Notes in Computer Science, Vol. 9046, Springer, 2014.

  5. Marion Neumann; Lisa Hallau; Benjamin Klatt; Kristian Kersting; Christian Bauckhage

    Erosion Band Features for Cell Phone Image Based Plant Disease Classification

    In: 22nd International Conference on Pattern Recognition. International Conference on Pattern Recognition (ICPR-2014), August 24-28, Stockholm, Sweden, Pages 3315-3320, IEEE Computer Society, 2014.

  6. Shuo Yang; Tushar Khot; Kristian Kersting; Gautam Kunapuli; Kris Hauser; Sriraam Natarajan

    Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach

    In: Ravi Kumar; Hannu Toivonen; Jian Pei; Joshua Zhexue Huang; Xindong Wu (Hrsg.). 2014 IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2014), December 14-17, Shenzhen, China, Pages 1085-1090, IEEE Computer Society, 2014.

  7. Nils M. Kriege; Marion Neumann; Kristian Kersting; Petra Mutzel

    Explicit Versus Implicit Graph Feature Maps: A Computational Phase Transition for Walk Kernels

    In: Ravi Kumar; Hannu Toivonen; Jian Pei; Joshua Zhexue Huang; Xindong Wu (Hrsg.). 2014 IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2014), December 14-17, Shenzhen, China, Pages 881-886, IEEE Computer Society, 2014.

  8. Martin Grohe; Kristian Kersting; Martin Mladenov; Erkal Selman

    Dimension Reduction via Colour Refinement

    In: Andreas S. Schulz; Dorothea Wagner (Hrsg.). Algorithms - ESA 2014 - 22th Annual European Symposium, Proceedings. European Symposium on Algorithms (ESA-2014), September 8-10, Wroclaw, Poland, Pages 505-516, Lecture Notes in Computer Science (LNCS), Vol. 8737, Springer, 2014.

  9. Fabian Hadiji; Rafet Sifa; Anders Drachen; Christian Thurau; Kristian Kersting; Christian Bauckhage

    Predicting player churn in the wild

    In: 2014 IEEE Conference on Computational Intelligence and Games. IEEE Conference on Computational Intelligence and Games (CIG-2014), August 26-29, Dortmund, Germany, Pages 1-8, IEEE, 2014.

  10. Martin Mladenov; Kristian Kersting; Amir Globerson

    Efficient Lifting of MAP LP Relaxations Using k-Locality

    In: Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS-2014), April 22-25, Reykjavik, Iceland, Pages 623-632, JMLR Workshop and Conference Proceedings, Vol. 33, JMLR.org, 2014.

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