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Bayesian Boolean Matrix Factorisation.

, , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 2969-2978. PMLR, (2017)

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Herbert Rukat

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Ulrich-Georg Tammoscheit

Ulrich-Georg Tammoscheit

 

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Logical factorisation machines: probabilistic Boolean factor models for binary data.. University of Oxford, UK, (2018)British Library, EThOS.Learning to Validate the Predictions of Black Box Classifiers on Unseen Data., , и . SIGMOD Conference, стр. 1289-1299. ACM, (2020)DataWig: Missing Value Imputation for Tables., , , , , , , и . J. Mach. Learn. Res., (2019)Bayesian Boolean Matrix Factorisation., , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 2969-2978. PMLR, (2017)Variational Boosted Soft Trees., , , , и . AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 5787-5801. PMLR, (2023)Learning to Validate the Predictions of Black Box Machine Learning Models on Unseen Data., , , , и . HILDA@SIGMOD, стр. 4:1-4:4. ACM, (2019)Probabilistic Boolean Tensor Decomposition., , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 4410-4419. PMLR, (2018)JENGA - A Framework to Study the Impact of Data Errors on the Predictions of Machine Learning Models., , и . EDBT, стр. 529-534. OpenProceedings.org, (2021)Unit Testing Data with Deequ., , , , , , , и . SIGMOD Conference, стр. 1993-1996. ACM, (2019)Differential Data Quality Verification on Partitioned Data., , , , , , , и . ICDE, стр. 1940-1945. IEEE, (2019)