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Conference Paper

Drifting Gaussian Processes with Varying Neighborhood Sizes for Online Model Learning

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Meier,  Franzi
Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Schaal,  Stefan
Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Citation

Meier, F., & Schaal, S. (2016). Drifting Gaussian Processes with Varying Neighborhood Sizes for Online Model Learning. In A. Okamura (Ed.), Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) 2016 (pp. 264-269). New York, NY, USA: IEEE. doi:10.1109/ICRA.2016.7487143.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002D-1A38-B
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