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Low-rank decomposition meets kernel learning
Lan L., Zhang K., Ge H., Cheng W., Liu J., Rauber A., Li X., Wang J., Zha H. Artificial Intelligence 250 1-15, 2017. Type: Article
This paper describes how low-rank kernel learning can be modified to make use of side information such as class labels on some of the data. In low-rank kernel learning, the kernel can be approximated using the Nystrom method in which a...
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Jan 17 2018
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