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Active Learning in Gaussian Process State Space Model.

, , , , and . ECML/PKDD (3), volume 12977 of Lecture Notes in Computer Science, page 346-361. Springer, (2021)

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Incremental Sparsification for Real-time Online Model Learning., and . AISTATS, volume 9 of JMLR Proceedings, page 557-564. JMLR.org, (2010)Safe Active Learning for Time-Series Modeling with Gaussian Processes., , and . CoRR, (2024)Computed torque control with nonparametric regression models., , and . ACC, page 212-217. IEEE, (2008)Efficient sparsification for Gaussian process regression., , and . Neurocomputing, (2016)Cognitive Fixed-Gain Amplify-and-Forward Relay Networks under Interference Constraints., , , and . IEICE Trans. Commun., 96-B (1): 375-378 (2013)Model learning for robot control: a survey., and . Cogn. Process., 12 (4): 319-340 (2011)Adaptive Discretization for Evaluation of Probabilistic Cost Functions., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2098-2108. PMLR, (2020)Active Learning in Gaussian Process State Space Model., , , , and . ECML/PKDD (3), volume 12977 of Lecture Notes in Computer Science, page 346-361. Springer, (2021)Fast greedy insertion and deletion in sparse Gaussian process regression., , , , and . ESANN, (2015)Incremental online sparsification for model learning in real-time robot control., and . Neurocomputing, 74 (11): 1859-1867 (2011)