Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 72
Number of items: 72
  • Open Access
    ten Cate, B., Dalmau, V., Kolaitis, P. G., & Wu, W.-L. (2024). When Do Homomorphism Counts Help in Query Algorithms? In G. Cormode, & M. Shekelyan (Eds.), 27th International Conference on Database Theory: ICDT 2024, March 25-28, 2024, Paestum, Italy Article 8 (Leibniz International Proceedings in Informatics; Vol. 290). Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.ICDT.2024.8
  • Open Access
    ten Cate, B., Funk, M., Jung, J. C., & Lutz, C. (2024). On the non-efficient PAC learnability of conjunctive queries. Information Processing Letters, 183, Article 106431. https://doi.org/10.1016/j.ipl.2023.106431
  • ten Cate, B., Funk, M., Jung, J. C., & Lutz, C. (2023). SAT-Based PAC Learning of Description Logic Concepts. In E. Elkind (Ed.), Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence: IJCAI 2023, Macao, S.A.R, 19-25 August 2023 (Vol. 5, pp. 3347-3355). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2023/373
  • Open Access
    ten Cate, B., Dalmau, V., Funk, M., & Lutz, C. (2023). Extremal Fitting Problems for Conjunctive Queries. In PODS '23: Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems : June 18-23, 2023, Seattle, WA, USA (pp. 89-98). Association for Computing Machinery. https://doi.org/10.1145/3584372.3588655
  • Open Access
    ten Cate, B., Funk, M., Jung, J. C., & Lutz, C. (2023). Fitting Algorithms for Conjunctive Queries. SIGMOD Record, 52(4), 6-18. https://doi.org/10.1145/3641832.3641834
  • Ten Cate, B., & Dalmau, V. (2022). Conjunctive Queries: Unique Characterizations and Exact Learnability. ACM Transactions on Database Systems, 47(4), Article 14. https://doi.org/10.1145/3559756
  • Open Access
    van Benthem, J., ten Cate, B., & Koudijs, R. (2022). Local Dependence and Guarding. In D. Fernández-Duque, A. Palmigiano, & S. Pinchinat (Eds.), Advances in Modal Logic: AiML 14 (pp. 135-154). College Publications. https://doi.org/10.48550/arXiv.2206.06046
  • Open Access
    ten Cate, B. (2022). Lyndon Interpolation for Modal Logic via Type Elimination Sequences. (Technical Notes Series; No. X-2022-01). ILLC, University of Amsterdam. https://eprints.illc.uva.nl/id/eprint/1869/
  • Benedikt, M., Bourrhis, P., ten Cate, B., Puppis, G., & Vanden Boom, M. (2021). Inference from Visible Information and Background Knowledge. ACM Transactions on Computational Logic, 22(2), Article 13. https://doi.org/10.1145/3452919
  • Open Access
    ten Cate, B., & Dalmau, V. (2021). Conjunctive Queries: Unique Characterizations and Exact Learnability. In K. Yi, & Z. Wei (Eds.), 24th International Conference on Database Theory: ICDT 2021, March 23-26, 2021, Nicosia, Cyprus Article 9 (Leibniz International Proceedings in Informatics; Vol. 186). Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.ICDT.2021.9
Page 2 of 8