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Publications

Displaying results 771 to 780 of 13865.

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

    Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text

    In: Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2013), July 15, Bellevue, Washington, USA, AAAI Technical Report, Vol. WS-13-16, AAAI, 2013.

  2. Martin Mladenov; Kristian Kersting

    Lifted Inference via k-Locality

    In: Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2013), July 15, Bellevue, Washington, USA, AAAI Technical Report, Vol. WS-13-16, AAAI, 2013.

  3. Fabian Hadiji; Kristian Kersting

    Reduce and Re-Lift: Bootstrapped Lifted Likelihood Maximization for MAP

    In: Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2013), July 15, Bellevue, Washington, USA, AAAI Technical Report, Vol. WS-13-16, AAAI, 2013.

  4. Babak Ahmadi; Kristian Kersting; Sriraam Natarajan

    MapReduce Lifting for Belief Propagation

    In: Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2013), July 15, Bellevue, Washington, USA, AAAI Technical Report, Vol. WS-13-16, AAAI, 2013.

  5. Babak Ahmadi; Kristian Kersting; Martin Mladenov; Sriraam Natarajan

    Exploiting symmetries for scaling loopy belief propagation and relational training

    In: Machine Learning, Vol. 92, No. 1, Pages 91-132, Springer, 2013.

  6. 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.

  7. 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.

  8. 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.

  9. Daan Fierens; Kristian Kersting; Jesse Davis; Jian Chen; Martin Mladenov

    Pairwise Markov Logic

    In: Fabrizio Riguzzi; Filip Zelezný (Hrsg.). Inductive Logic Programming - 22nd International Conference. International Conference on Inductive Logic Programming (ILP-2012), September 17-19, Dubrovnik, Croatia, Pages 58-73, Lecture Notes in Computer Science, Vol. 7842, Springer, 2012.

  10. Sriraam Natarajan; Saket Joshi; Baidya Nath Saha; Adam Edwards; Tushar Khot; Elizabeth Moody; Kristian Kersting; Christopher T. Whitlow; Joseph A. Maldjian

    A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain

    In: 11th International Conference on Machine Learning and Applications. International Conference on Machine Learning (ICML-2012), December 12-15, Boca Raton, FL, USA, Pages 203-208, Vol. 1, IEEE, 2012.

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