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An application of hierarchical Gaussian processes to the detection of anomalies in star light curves.

, , , and . Neurocomputing, (2019)

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Interpretable Anomaly Detection with Mondrian Pólya Forests on Data Streams., , , and . CoRR, (2020)Privacy-preserving Active Learning on Sensitive Data for User Intent Classification., , , and . CoRR, (2019)Unlocking the Heart Using Adaptive Locked Agnostic Networks., , , and . CoRR, (2023)ADL™: A Topic Model for Discovery of Activities of Daily Living in a Smart Home., , and . IJCAI, page 1404-1410. IJCAI/AAAI Press, (2016)BDL.NET: Bayesian dictionary learning in Infer.NET., , and . MLSP, page 1-6. IEEE, (2016)Matching Pursuit Kernel Fisher Discriminant Analysis., , , and . AISTATS, volume 5 of JMLR Proceedings, page 121-128. JMLR.org, (2009)Preface., , and . WAPA, volume 11 of JMLR Proceedings, page 1-3. JMLR.org, (2010)An application of hierarchical Gaussian processes to the detection of anomalies in star light curves., , , and . Neurocomputing, (2019)On the need for structure modelling in sequence prediction., , and . Mach. Learn., 104 (2-3): 291-314 (2016)Bayesian Modelling of the Temporal Aspects of Smart Home Activity with Circular Statistics., , and . ECML/PKDD (2), volume 9285 of Lecture Notes in Computer Science, page 279-294. Springer, (2015)