Weighted Smooth Support Vector Machine (wSSVM) for Semi-supervised Learning.
碩士 === 國立中興大學 === 統計學研究所 === 103 === Despite a large amount and variety of data is now available on the internet, inevitably there exist difficulty in collecting data exhaustively due to a limited budget. Regarding a classification problem, we consider a semi-supervised learning model on a dataset w...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2015
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/94207068649106655838 |