Journals

  • R. H. Sloan, B. Szorenyi, Gy. Turan: On k-term DNF with the largest number of prime implicants, SIAM J. on Discrete Mathematics, to appear.
  • P. Berman, B. DasGupta, D. Mubayi, R. H. Sloan, Gy. Turan, Y. Zhang: The inverse protein folding problem on 2D and 3D lattices, Discrete Applied Mathematics 155 (2007), 719-732.
  • R. H. Sloan, B. Szorenyi, Gy. Turan: Revising threshold functions, Theoretical Computer Science 382 (2007), 198-208. (ALT 2004 Special Issue.)
  • R. H. Sloan, B. Szorenyi, Gy. Turan: Projective DNF formulae and their revision, Discrete Applied Mathematics, to appear.
  • Z. Furedi, R. H. Sloan, K. Takata, Gy. Turan: On set systems with a threshold property, Discrete Mathematics, 306 (2006), 3097-3111.
  • D. Mubayi, Gy.Turan, Y. Zhao: The DNF exception problem, Theoretical Computer Science 352 (2006), 85-96.
  • J. Goldsmith, R. H. Sloan and Gy. Turan: Theory revision with queries: Horn, read-once, and parity formulas, Artificial Intelligence Journal 156 (2004), 139-176.
  • M. Grohe, Gy. Turan: Learnability and definability in trees and similar structures, Theory of Computing Systems 37 (2004), 193-220. (STACS 2002 Special Issue.)
  • J. Goldsmith, R. H. Sloan and Gy. Turan: Theory revision with queries: DNF Formulas, Machine Learning 47 (2002), 257-295.
  • T. Horvath, Gy. Turan: Learning logic programs with structured background knowledge, Artificial Intelligence Journal 128 (2001), 31-97.
  • R. H. Sloan, K. Takata, Gy. Turan: On frequent sets of Boolean matrices, Annals of Mathematics and Artificial Intelligence 24 (1998), 193-209. Available on-line from the Electronic Colloquium on Computational Complexity (ECCC) as ECCC Technical Report Number TR98-061, 1998.
  • D. Angluin, M. Krikis, R. H. Sloan, and Gy. Turan: Malicious omissions and errors in answers to membership queries, Machine Learning 28 (1997), 211-255.
  • Gy. Turan, F. Vatan: On the computation of Boolean functions by analog circuits of bounded fan-in, Journal of Computer and System Sciences 54 (1997), 199-212.
  • Gy. Turan, F. Vatan: A size-depth trade-off for the analog computation of Boolean functions, Information Processing Letters 59 (1996), 251-254.
  • Gy. Turan: On the complexity of planar circuits, Computational Complexity 5 (1995), 24-42.
  • W. Maass, Gy. Turan: Algorithms and lower bounds for on-line learning of geometric concepts, Machine Learning 14 (1994), 251-269.
  • A. Hajnal,  W. Maass, P. Pudlak,  M.  Szegedy,  Gy.  Turan:  Threshold circuits with bounded depth, Journal of Computer and System Sciences 46 (1993), 129-154.
  • H. D. Groger, Gy. Turan: A linear lower bound for the size of threshold circuits, Bulletin of the European Association for Theoretical Computer Science 50 (1993), 220-222.
  • W. Maass, G. Schnitger, E. Szemeredi, Gy. Turan: Two tapes versus one for off-line Turing machines, Computational Complexity 3 (1993), 392-401.
  • U. Faigle, Gy. Turan: The communication complexity of interval orders, Discrete Applied Mathematics 40 (1992), 19-28.
  • W. Maass, Gy. Turan: Lower bounds and separation results for on-line learning models, Machine Learning 9 (1992), 107-145.
  • Gy. Turan: Lower bounds for synchronous circuits and planar circuits, Information Processing Letters 30 (1989), 37-40.
  • U. Faigle, W. Kern, Gy. Turan: On the performance of on-line algorithms for partition problems, Acta Cybernetica 9 (1989), 107-119.
  • S. Buss, Gy. Turan: Resolution proofs for generalized pigeonhole principles, Theoretical Computer Science 62 (1988), 311-317.
  • U. Faigle, Gy. Turan: Sorting and recognition problems for ordered sets, SIAM Journal on Computing 17 (1988), 100-113.
  • L. Babai, P. Hajnal, E. Szemeredi, Gy. Turan: A lower bound for one-time-only branching programs, Journal of Computer and System Sciences 35 (1987), 153-162.
  • U. Faigle, Gy. Turan: The complexity of semiorders and interval orders, Discrete Mathematics 63 (1987), 131-141.
  • W. Cook, C. R. Coullard, Gy. Turan: On the complexity of cutting plane proofs, Discrete Applied Mathematics 18 (1987), 25-38.
  • L. Babai, Gy. Turan: The complexity of defining a relation on a finite graph, Zeitschrift fur Mathematische Logik und Grundlagen der Mathematik 33 (1987), 277-288.
  • U. Faigle, L. Lovasz, R. Schrader, Gy. Turan: Searching in trees, series-parallel and interval orders, SIAM Journal on Computing 15 (1986), 1075-1084.
  • Gy. Turan: On the succinct representation of graphs,  Discrete Applied Mathematics 8 (1984), 289-294.
  • Gy. Turan: On the definability of properties of finite graphs, Discrete Mathematics 49 (1984), 291-302.
  • Gy. Turan: The critical complexity of graph properties, Information Processing Letters 18 (1984), 151-153.
  • Gy. Turan: On the complexity of graph grammars, Acta Cybernetica 6 (1983), 271-280.
  • E. Gyori, Gy. Turan: Stack of pancakes, Studia Scientia Math. Hung. 13 (1978), 133-137.


Conferences

  • M. Langlois, R. H. Sloan, Gy. Turan: Horn upper bounds and renaming, Theory and Applications of Satisfiability Testing SAT 2007, Springer LNCS 4501, 80-93, 2007.
  • P. Hajnal, Z. Liu, Gy. Turan: Nearest neighbor representations of Boolean functions, 9th International Symposium on Artificial Intelligence and Mathematics, 2006.
  • M. Langlois, R. H. Sloan, Gy. Turan: Horn upper bounds of random 3-CNF: a computational study, 9th International Symposium on Artificial Intelligence and Mathematics, 2006.
  • J. Goldsmith, R. H. Sloan, B. Szorenyi, and Gy. Turan: Revision algorithms using queries: results and problems, Workshop on Learning with Logic and Logics for Learning, Japanese Society for AI, 39-44, 2005.
  • J. Goldsmith, R. H. Sloan, B. Szorenyi, Gy. Turan: New revision algorithms, 15. Algorithmic Learning Theory (ALT 2004), Springer LNCS 3244, 395-409, 2004.
  • P. Berman, B. DasGupta, D. Mubayi, R. H. Sloan, Gy. Turan, Y. Zhang: The protein sequence design problem in the canonical model on 2D and 3D lattices,  15. Combinatorial Pattern Matching Symposium (CPM 2004), Springer LNCS 3109, 244-253, 2004.
  • R. H. Sloan, B. Szorenyi, Gy. Turan: Projective DNF and their revision, Learning Theory and Kernel Machines (16. COLT/Kernel 2003), Springer LNCS 2777, 625-639, 2003.
  • T. Horvath, R. H. Sloan, and Gy. Turan: Learning logic programs with unary partial function graph background knowledge, First International Workshop on Mining Graphs, Trees and Sequences (MGTS-03), 2003.
  • M. Grohe, Gy. Turan: Learnability and definability in trees and similar structures, 19. Symposium on Theoretical Aspects of Computer Science (STACS), Springer LNCS 2285, 645-658, 2002.
  • J. Goldsmith, R. H. Sloan, B. Szorenyi,  Gy. Turan: Improved Algorithms for Theory Revision with Queries, 13. Annual Conference on Computational Learning Theory (COLT ), 236-247, 2000.
  • R. H. Sloan, Gyorgy Turan: On theory revision with queries, 12. Annual Conference on Computational Learning Theory (COLT ), 41-52, 1999.
  • I. Tsapara, Gy. Turan: Learning atomic formulas with prescribed properties, 11. Annual Conference on Computational Learning Theory (COLT), 166-174, 1998.
  • T. Horvath, R. H. Sloan, Gy. Turan: Learning logic programs with random classification noise, 6. International Workshop on Inductive Logic Programming (ILP), S. Muggleton ed., Springer LNAI 1314, 315-336, 1997.
  • T. Horvath, R. H. Sloan, Gy. Turan: Learning logic programs by using the product homomorphism method, 10. Conference on Computational Learning Theory (COLT), 10-20, 1997.
  • Gy. Turan, F. Vatan: Linear decision lists and partitioning algorithms for the construction of neural networks, Foundations of Computational Mathematics: selected papers of a conference held at Rio de Janeiro, Springer, 414-423, 1997.
  • R. H. Sloan, Gy. Turan: Learning from incomplete boundary queries using split graphs and hypergraphs, Computational Learning Theory: Third European Conference (EuroCOLT '97), S. Ben-David ed. Springer LNAI 1208, 38-50, 1997.
  • T. Horvath, Gy. Turan: Learning logic programs with structured background knowledge, 5. International Workshop on Inductive Logic Programming (ILP), 1995.
  • W. Maass, Gy. Turan: On learnability and predicate logic, Bar-Ilan Symposium on the Foundations of Artificial Intelligence (BISFAI), 75-85, 1995.
  • Gy. Turan, F. Vatan: On the computation of Boolean functions by analog circuits of bounded fan-in, 35. Foundations of Computer Science (FOCS), 553-564, 1994.
  • R. H. Sloan, Gy. Turan: Learning with queries but incomplete information, 7. ACM Conference on Computational Learning Theory (COLT), 237-245, 1994.
  • Gy. Turan: Lower bounds for PAC learning with queries, 6. ACM Conference on Computational Learning Theory (COLT), 1993.
  • H. D. Groger, Gy. Turan: On linear decision trees computing Boolean functions, 18. International Conference on Automata, Languages and Programming (ICALP), J. L. Albert, B. Monien, M. R. Artalejo, eds., Springer LNCS 510, 707-718, 1991.
  • W. Maass, Gy. Turan: On the complexity of learning from counterexamples and membership queries, 31. Foundations of Computer Science (FOCS), 203-210, 1990.
  • W. Maass, Gy. Turan: On the complexity of learning with counterexamples, 30. Foundations of Computer Science (FOCS), 262-267, 1989.
  • Gy. Turan: On restricted Boolean circuits, Fundamentals of Computation Theory (FCT), J. Csirik, J. Demetrovics, F. Gecseg, eds. Springer  LNCS 380, 460-469, 1989.
  • A. Hajnal, W. Maass, Gy. Turan: On the communication complexity of graph properties, 20. Symposium on the Theory of Computing (STOC), 186-191, 1988.
  • U. Faigle, Gy. Turan: Static on-line decomposition of series-parallel and interval orders, 13. Conference of the German Society for Operations Research (SOR), Methods of Operations Research, B. Fuchssteiner, T. Lengauer, H. J. Skala, eds. 60 (1988), 197-203.
  • A. Hajnal, W. Maass, P. Pudlak, M. Szegedy, Gy. Turan: Threshold circuits with bounded depth, 28. Foundations of  Computer Science  (FOCS),  99-110, 1987.
  • M. Ajtai, L. Babai, P. Hajnal, J. Komlos, P. Pudlak, V. Rodl, E. Szemeredi, Gy. Turan: Two lower bounds for branching programs, 17. Symposium on the Theory of Computing (STOC), 30-38, 1986.
  • U. Faigle, Gy. Turan: Sorting and recognition problems for ordered sets, Symposium on the Theoretical Aspects of Computer Science (STACS), K. Mehlhorn ed., Springer LNCS 182, 109-118, 1985.
  • Gy. Turan: Models of computation for graph theoretic problems, Graph Theoretic Problems in Computer Science (WG'84), U. Pape ed., 369-381, 1984.
  • U. Faigle, L. Lovasz, R. Schrader, Gy. Turan: Search problems in ordered sets, Operations Research, D. Ohse et al. eds., 411-415, 1984.
  • Gy. Turan: On the greedy algorithm for an edge-partitioning problem, Theory of Algorithms, Colloquia of the Bolyai Mathematical Society 44, 405-423, 1984.
  • Gy. Turan: Cellular graph automata and second-order definable graph properties, Fundamentals of Computer Science (FCT), F. Gecseg ed., Springer LNCS 117, 384-393, 1981.


Surveys, Book Chapters

  • Gy. Turan: Remarks on computational learning theory, Annals of Mathematics and Artificial Intelligence 28 (2000), 43-45.
  • Gy. Turan: Learning theory, Artificial Intelligence, I. Futo ed., 535-549. Aula, 1998. (In Hungarian.)
  • Gy. Turan: It is a long way from input to output (a survey of computational learning theory), Jenseits von Kunst, P. Weibel ed., 436-441. Passagen Verlag, 1997. (In German.)
  • T. Horvath, Gy. Turan: Learning logic programs with structured background knowledge, Advances in Inductive Logic Programming, L. De Raedt ed., 172-191. IOS Press, Ohmsha, 1996.
  • W. Maass, Gy. Turan: How fast can a threshold gate learn?, Computational Learning Theory and Natural Learning Systems: Constraints and Prospects, S. Hanson, G. Drastal, R. Rivest eds., 381-414. MIT Press, 1994.
  • Gy. Turan: Computational learning theory and neural networks: a survey of selected topics, Theoretical Advances in Neural Computation and Learning, V. P. Roychowdhury, K. Y. Siu, A. Orlitsky eds., 243-293. Kluwer, 1994.
  • Gy. Turan: A survey of some aspects of computational learning theory, Fundamentals of Computation Theory (FCT), L. Budach ed., Springer LNCS 529, 89-103, 1991.
  • U. Faigle, Gy. Turan: Communication complexity, Computational Graph Theory, G. Tinhofer et al. eds., Computing Supplementum 7, 141-153. Springer, 1990.
  • Gy. Turan: Notions of complexity in computer science: a survey, Modelling Complex Systems: Studies for the Hungarian Ministry of Industry, 1983. (In Hungarian.)
  • Gy. Turan: Parallel program schemata: a survey, Hungarian Academy of Sciences Automata Theory Research Group, Technical Report, 1981. (In Hungarian.)