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Few-shot learning for spatial regression via neural embedding-based Gaussian processes
Authors:Iwata  Tomoharu  Tanaka  Yusuke
Affiliation:1.NTT Communication Science Laboratories, Kyoto, Japan
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Abstract:Machine Learning - We propose a few-shot learning method for spatial regression. Although Gaussian processes (GPs), or kriging, have been successfully used for spatial regression, they require many...
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