Variational Gaussian process for optimal sensor placement

Author:

Tajnafoi Gabor,Arcucci Rossella,Mottet Laetitia,Vouriot Carolanne,Molina-Solana Miguel,Pain Christopher,Guo Yi-Ke

Publisher

Institute of Mathematics, Czech Academy of Sciences

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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3. Stochastic Compositional Kernel Estimation for Gaussian Process Models;Proceedings of the 2023 15th International Conference on Machine Learning and Computing;2023-02-17

4. Random Sparse Approximation for a Fast and Scalable Gaussian Process;2022 2nd International Seminar on Machine Learning, Optimization, and Data Science (ISMODE);2022-12-22

5. Sparse Variational Gaussian Process with Dynamic Kernel for Electricity Demand Forecasting;2022 IEEE 7th International Energy Conference (ENERGYCON);2022-05-09

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