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Handbuch der Künstlichen Intelligenz

, , and (Eds.) De Gruyter Oldenbourg, Berlin ; Boston, 6 edition, (December 2020)

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Lifted Temporal Most Probable Explanation., , and . ICCS, volume 11530 of Lecture Notes in Computer Science, page 72-85. Springer, (2019)Efficient Multiple Query Answering in Switched Probabilistic Relational Models., , and . Australasian Conference on Artificial Intelligence, volume 11919 of Lecture Notes in Computer Science, page 104-116. Springer, (2019)On Domain-specific Topic Modelling Using the Case of a Humanities Journal., , , and . CHAI@KI, volume 3580 of CEUR Workshop Proceedings, page 25-37. CEUR-WS.org, (2023)Investigating Matureness of Probabilistic Graphical Models for Dry-Bulk Shipping., , , , and . PGM, volume 138 of Proceedings of Machine Learning Research, page 197-208. PMLR, (2020)Lifted Temporal Maximum Expected Utility., , and . Canadian AI, volume 11489 of Lecture Notes in Computer Science, page 380-386. Springer, (2019)Einleitung., , and . Handbuch der Künstlichen Intelligenz, De Gruyter, (2020)Concept Drift Detection in Dynamic Probabilistic Relational Models., , , and . FLAIRS, (2021)Dynamic Domain Sizes in Temporal Probabilistic Relational Models., , , and . FLAIRS, (2021)Lifted Dynamic Junction Tree Algorithm., , and . ICCS, volume 10872 of Lecture Notes in Computer Science, page 55-69. Springer, (2018)Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm., , and . Australasian Conference on Artificial Intelligence, volume 11320 of Lecture Notes in Computer Science, page 556-562. Springer, (2018)