A Gradient Boosting Algorithm Based on Gaussian Process Regression
碩士 === 國立臺灣大學 === 資訊管理學研究所 === 106 === Gaussian process regression (GPR) is an important model in the field of machine learning. GPR model is flexible, robust, and easy to implement. However, it suffers from expensive computational cost: O(n^3) for training time, O(n^2) for training memory and O(n)...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/sa3vf5 |