Fast transfer Gaussian process regression with large-scale sources
In transfer learning, we aim to improve the predictive modeling of a target output by using the knowledge from some related source outputs. In real-world applications, the data from the target domain is often precious and hard to obtain, while the data from source domains is plentiful. Thus, since t...
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Main Authors: | , , , , |
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格式: | Article |
語言: | English |
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2020
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在線閱讀: | https://hdl.handle.net/10356/142637 |
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機構: | Nanyang Technological University |
語言: | English |