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  • Source: Scopus
20142021

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  • An Introduction to Imprecise Markov Chains

    Krak, T., 2021, Optimization Under Uncertainty with Applications to Aerospace Engineering. Vasile, M. (ed.). Springer Nature, p. 141-179

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

  • Computing Expected Hitting Times for Imprecise Markov Chains

    Krak, T., 2021, (Accepted/In press) Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications: Proceedings of the 2020 UQOP International Conference. Vasile, M. & Quagliarella, D. (eds.). Springer

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

  • Sum-Product Laws and Efficient Algorithms for Imprecise Markov Chains

    De Bock, J., Erreygers, A. & Krak, T., 2021, (Accepted/In press) Proceedings of UAI 2021. (Proceedings of Machine Learning Research).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  • A Recursive Algorithm for Computing Inferences in Imprecise Markov Chains

    T'Joens, N., Krak, T., De Bock, J. & de Cooman, G., 2019, Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 15th European Conference, ECSQARU 2019, Proceedings. Kern-Isberner, G. & Ognjanović, Z. (eds.). Springer, p. 455-465 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11726 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    5 Citations (Scopus)
  • Hitting Times and Probabilities for Imprecise Markov Chains

    Krak, T., T'Joens, N. & De Bock, J., 2019, Proceedings of ISIPTA 2019. p. 265-275 (Proceedings of Machine Learning Research).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review