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Partially Observable Markov Decision Process Modelling for Assessing Hierarchies.

, , , and . ACML, volume 129 of Proceedings of Machine Learning Research, page 641-656. PMLR, (2020)

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Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach., , , and . PAKDD (3), volume 12714 of Lecture Notes in Computer Science, page 206-218. Springer, (2021)An Improved State Filter Algorithm for SIR Epidemic Forecasting., and . ECAI, volume 285 of Frontiers in Artificial Intelligence and Applications, page 524-532. IOS Press, (2016)Learning to Predict the Departure Dynamics of Wikidata Editors., and . ISWC, volume 12922 of Lecture Notes in Computer Science, page 39-55. Springer, (2021)t-k-means: A ROBUST AND STABLE k-means VARIANT., , , , , and . ICASSP, page 3120-3124. IEEE, (2021)An Algorithmic Framework for Decentralised Matrix Factorisation., , , , , , and . ECML/PKDD (2), volume 12458 of Lecture Notes in Computer Science, page 307-323. Springer, (2020)Bayesian Hierarchical Mixture Clustering using Multilevel Hierarchical Dirichlet Processes., , , and . CoRR, (2019)A Soft Affiliation Graph Model for Scalable Overlapping Community Detection., , and . ECML/PKDD (1), volume 11906 of Lecture Notes in Computer Science, page 507-523. Springer, (2019)Partially Observable Markov Decision Process Modelling for Assessing Hierarchies., , , and . ACML, volume 129 of Proceedings of Machine Learning Research, page 641-656. PMLR, (2020)Evaluation of Hierarchical Clustering via Markov Decision Processes for Efficient Navigation and Search., , , , and . CLEF, volume 10456 of Lecture Notes in Computer Science, page 125-131. Springer, (2017)Posterior Regularisation on Bayesian Hierarchical Mixture Clustering., , , and . CoRR, (2021)