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A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams.

, and . J. Intell. Inf. Syst., 18 (2-3): 107-125 (2002)

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Statistical optimality conditions for compressive ensembles., and . CoRR, (2021)PAC-learning with approximate predictors., and . Mach. Learn., 112 (5): 1693-1732 (May 2023)Compressed fisher linear discriminant analysis: classification of randomly projected data., and . KDD, page 1119-1128. ACM, (2010)New Bounds on Compressive Linear Least Squares Regression.. AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 448-456. JMLR.org, (2014)Tighter Guarantees for the Compressive Multi-layer Perceptron., and . TPNC, volume 11324 of Lecture Notes in Computer Science, page 388-400. Springer, (2018)Model-Based Estimation of Word Saliency in Text., and . Discovery Science, volume 4265 of Lecture Notes in Computer Science, page 279-290. Springer, (2006)Optimistic bounds for multi-output prediction., and . CoRR, (2020)Two approaches of using heavy tails in high dimensional EDA., , and . ICDM Workshops, page 653-660. IEEE Computer Society, (2014)Optimistic Bounds for Multi-output Learning., and . ICML, volume 119 of Proceedings of Machine Learning Research, page 8030-8040. PMLR, (2020)Multi-task signal recovery by higher level hyper-parameter sharing., and . ICPR, page 2246-2249. IEEE Computer Society, (2012)