Neyman-pearson classiffication under high-dimensional settings
Most existing binary classification methods target on the optimization of the overall classification risk and may fail to serve some real-world applications such as cancer diagnosis, where users are more concerned with the risk of misclassifying one specific class than the other. Neyman-Pearson (NP)...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
JMLR, Inc.
2018
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| Online Access: | http://hdl.handle.net/1721.1/116907 https://orcid.org/0000-0003-3582-8898 |