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Number of items: 8.

Kimmig, Angelika, Memory, Alexander, Miller, Renee J. and Getoor, Lise 2018. A collective, probabilistic approach to schema mapping using diverse noisy evidence. IEEE Transactions on Knowledge and Data Engineering 10.1109/TKDE.2018.2865785
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Cerutti, Federico, Alzantot, Mustafa, Xing, Tianwei, Harborne, Daniel, Bakdash, Jonathan, Braines, Dave, Chakraborty, Supriyo, Kaplan, Lance, Kimmig, Angelika, Preece, Alun David, Raghavendra, Ramya, Sensoy, Murat and Srivastava, Mani 2018. Learning and reasoning in complex coalition information environments: a critical analysis. Presented at: Fusion 2018: 21st International Conference on Information Fusion, Cambridge, UK, 10-13 July 2018.
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Kimmig, Angelika, Van den Broeck, Guy and De Raedt, Luc 2017. Algebraic model counting. Journal of Applied Logic 22 , pp. 46-62. 10.1016/j.jal.2016.11.031
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Vlasselaer, Jonas, Van den Broeck, Guy, Kimmig, Angelika, Meert, Wannes and De Raedt, Luc 2016. TP-Compilation for inference in probabilistic logic programs. International Journal of Approximate Reasoning 78 , pp. 15-32. 10.1016/j.ijar.2016.06.009
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De Raedt, Luc and Kimmig, Angelika 2015. Probabilistic (logic) programming concepts. Machine Learning 100 (1) , pp. 5-47. 10.1007/s10994-015-5494-z
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Kimmig, Angelika, Mihalkova, Lilyana and Getoor, Lise 2015. Lifted graphical models: a survey. Machine Learning 99 (1) , pp. 1-45. 10.1007/s10994-014-5443-2
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Cussens, James, de Raedt, Luc, Kimmig, Angelika and Sato, Taisuke 2015. Introduction to the special issue on probability, logic and learning. Theory and Practice of Logic Programming 15 (02) , pp. 145-146. 10.1017/S1471068413000665
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Galbrun, Esther and Kimmig, Angelika 2014. Finding relational redescriptions. Machine Learning 96 (3) , pp. 225-248. 10.1007/s10994-013-5402-3
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This list was generated on Thu Oct 18 04:12:18 2018 BST.