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Code for Multi-Output Gaussian Process Regression and Learning Approaches

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posted on 2019-01-09, 12:04 authored by Le YangLe Yang, Ke WangKe Wang, Lyudmila MihaylovaLyudmila Mihaylova
This is the implementation of the approaches developed in this work.

L. Yang, K. Wang and L. S. Mihaylova, "Online Sparse Multi-Output Gaussian Process Regression and Learning," in IEEE Transactions on Signal and Information Processing over Networks. doi: 10.1109/TSIPN.2018.2885925

Apart from the code, data for validation of the approaches are also provided.

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CSC grants

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    Department of Automatic Control and Systems Engineering

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    Keywords

    Multi-output Gaussian ProcessesSparse dataonline regression and learningmarginalized particle filterKullback-Leibler divergenceControl Systems, Robotics and AutomationComputer Engineering

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    MIT

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