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György Turán

University of Szeged

Gyorgy Turan is a Senior Research Fellow at the Research Group on Artificial Intelligence (RGAI) of the Hungarian Academy of Sciences at the University of Szeged, and a Professor at the Department of Mathematics, Statistics and Computer Science at the University of Illinois at Chicago. His research areas include computational complexity, learning theory, knowledge representation and related topics in combinatorics and logic. An area of current research interest is interpretability in machine learning.

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Selected publications

  • A.Hajnal, W.Maass, P. Pudlak, M.Szegedy, Gy.Turan: Threshold circuits of bounded depth, Journal of Computer and System Sciences, 46 (1993), 129-154.
  • T.Horvath, Gy.Turan: Learning logic programs with background knowledge, Artificial Intelligence, 128 (2001), 31-97.
  • K.Chubarian, Gy.Turan: Approximating bounded tree-width Bayesian network classifiers with OBDD, 10. International Conference on Probabilistic Graphical Models (PGM 2020), to appear.

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