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Safe Active Learning for Time-Series Modeling with Gaussian Processes.

, , и . NeurIPS, стр. 2735-2744. (2018)

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Tuong Nguyen

Duy Nguyen

Tuong-Ky Nguyen

Nguyen duy Kháuh

Bach Nguyen-Tuong

 

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Computed torque control with nonparametric regression models., , и . ACC, стр. 212-217. IEEE, (2008)Cognitive Fixed-Gain Amplify-and-Forward Relay Networks under Interference Constraints., , , и . IEICE Trans. Commun., 96-B (1): 375-378 (2013)Adaptive Discretization for Evaluation of Probabilistic Cost Functions., , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 2098-2108. PMLR, (2020)Active Learning in Gaussian Process State Space Model., , , , и . ECML/PKDD (3), том 12977 из Lecture Notes in Computer Science, стр. 346-361. Springer, (2021)Fast greedy insertion and deletion in sparse Gaussian process regression., , , , и . ESANN, (2015)Efficient sparsification for Gaussian process regression., , и . Neurocomputing, (2016)Local Gaussian Process Regression for Real Time Online Model Learning., , и . NIPS, стр. 1193-1200. Curran Associates, Inc., (2008)Batch Active Learning in Gaussian Process Regression using Derivatives., , и . CoRR, (2024)Model Learning in robot control (Modell-Lernen für Roboter-Regelung). University of Freiburg, Germany, (2011)base-search.net (ftunivfreiburg:oai:freidok.uni-freiburg.de:8160).Local Gaussian process regression for real-time model-based robot control., и . IROS, стр. 380-385. IEEE, (2008)