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A variational hardcut EM algorithm for the mixtures of Gaussian processes

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References

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Acknowledgements

This work was supported by National Key Research and Development Program of China (Grant No. 2018AAA0100205).

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Authors and Affiliations

  1. Department of Information and Computational Sciences, School of Mathematical Sciences and LMAM, Peking University, Beijing, 100871, China

    Tao Li & Jinwen Ma

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  1. Tao Li
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  2. Jinwen Ma
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Correspondence to Jinwen Ma.

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Appendixes A–C. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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Li, T., Ma, J. A variational hardcut EM algorithm for the mixtures of Gaussian processes. Sci. China Inf. Sci. 66, 139103 (2023). https://doi.org/10.1007/s11432-021-3477-3

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  • DOI: https://doi.org/10.1007/s11432-021-3477-3

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