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General Supervision via Probabilistic Transformations.

, and . ECAI, volume 325 of Frontiers in Artificial Intelligence and Applications, page 1348-1354. IOS Press, (2020)

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An efficient K -means clustering algorithm for massive data., , and . CoRR, (2018)Dirichlet process mixture models for non-stationary data streams., and . ICDM, page 873-878. IEEE, (2022)Rank Aggregation for Non-stationary Data Streams., , , and . ECML/PKDD (3), volume 12977 of Lecture Notes in Computer Science, page 297-313. Springer, (2021)LASSO for streaming data with adaptative filtering., , and . Stat. Comput., 33 (1): 5 (2023)General Supervision via Probabilistic Transformations., and . ECAI, volume 325 of Frontiers in Artificial Intelligence and Applications, page 1348-1354. IOS Press, (2020)Learning decomposable models by coarsening., and . PGM, volume 138 of Proceedings of Machine Learning Research, page 317-328. PMLR, (2020)An efficient K-means algorithm for Massive Data., , and . CoRR, (2016)Machine Learning From Crowds Using Candidate Set-Based Labeling., , and . IEEE Intell. Syst., 37 (6): 57-68 (November 2022)Crowd Learning with Candidate Labeling: An EM-Based Solution., , and . CAEPIA, volume 11160 of Lecture Notes in Computer Science, page 13-23. Springer, (2018)An efficient K-means clustering algorithm for tall data., , and . Data Min. Knowl. Discov., 34 (3): 776-811 (2020)