Privacy-Preserving Data Sharing in High Dimensional Regression and Classification Settings
We focus on the problem of multi-party data sharing in high dimensional data settings where the number of measured features (or the dimension) p is frequently much larger than the number of subjects (or the sample size) n, the so-called p>> n scenario that has been the focus of much recent sta...
Saved in:
Main Authors: | , |
---|---|
格式: | text |
語言: | English |
出版: |
Institutional Knowledge at Singapore Management University
2012
|
主題: | |
在線閱讀: | https://ink.library.smu.edu.sg/larc/1 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1000&context=larc |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|