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The Learner Data Institute - Conceptualization: A Progress Report.

, , , , , , , and . EDM (Workshops), volume 3051 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)

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Fine-Grained Explanations Using Markov Logic., , , and . ECML/PKDD (2), volume 11907 of Lecture Notes in Computer Science, page 614-629. Springer, (2019)An efficient signature representation and matching method for mobile devices.. WICON, page 16. ACM, (2006)Intelligent virus detection on mobile devices., , and . PST, volume 380 of ACM International Conference Proceeding Series, page 65. ACM, (2006)Efficient Weight Learning in High-Dimensional Untied MLNs., , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1637-1645. PMLR, (2018)Adaptive Rao-Blackwellisation in Gibbs Sampling for Probabilistic Graphical Models., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 2907-2915. PMLR, (2019)On Lifting the Gibbs Sampling Algorithm., and . StarAI@UAI, (2012)Dynamic Blocking and Collapsing for Gibbs Sampling., and . UAI, AUAI Press, (2013)Scalable and Equitable Math Problem Solving Strategy Prediction in Big Educational Data., , and . EDM, International Educational Data Mining Society, (2023)Interpretable Explanations for Probabilistic Inference in Markov Logic., , , and . IEEE BigData, page 1256-1264. IEEE, (2021)Contrastive Learning in Neural Tensor Networks using Asymmetric Examples., , and . IEEE BigData, page 28-39. IEEE, (2021)