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Jahr: 2014
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Zeige Ergebnisse 11 bis 20 von 24.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. Christian Bauckhage; Kristian Kersting; Christian Thurau

    Künstliche Intelligenz für Computerspiele - Historische Entwicklung und aktuelle Trends

    In: Informatik Spektrum, Vol. 37, No. 6, Pages 531-538, Springer, 2014.

  6. Sriraam Natarajan; Kristian Kersting; Tushar Khot; Jude W. Shavlik

    Boosted Statistical Relational Learners - From Benchmarks to Data-Driven Medicine

    Springer Briefs in Computer Science, ISBN 978-3-319-13643-1, Springer, 2014.

  7. Shrutika Poyrekar; Sriraam Natarajan; Kristian Kersting

    A Deeper Empirical Analysis of CBP Algorithm: Grounding Is the Bottleneck

    In: Statistical Relational Artificial Intelligence, Papers from the 2014 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2014), July 27, Québec City, Québec, Canada, AAAI Technical Report, Vol. WS-14-13, AAAI, 2014.

  8. Kristian Kersting; Martin Mladenov; Roman Garnett; Martin Grohe

    Power Iterated Color Refinement

    In: Carla E. Brodley; Peter Stone (Hrsg.). Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2014), July 27-31, Québec City, Québec, Canada, Pages 1904-1910, AAAI Press, 2014.

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

    Relational Logistic Regression: The Directed Analog of Markov Logic Networks

    In: Statistical Relational Artificial Intelligence, Papers from the 2014 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2014), July 27, Québec City, Québec, Canada, AAAI Technical Report, Vol. WS-14-13, AAAI, 2014.

  10. Udi Apsel; Kristian Kersting; Martin Mladenov

    Lifting Relational MAP-LPs Using Cluster Signatures

    In: Carla E. Brodley; Peter Stone (Hrsg.). Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2014), July 27-31, Québec City, Québec, Canada, Pages 2403-2409, AAAI Press, 2014.

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