C-Ascending Support Vector Machines for Financial Time Series Forecasting
This paper proposes a modified version of support vector machines (SVMs), called c-ascending support vector machines (c-ASVMs), to model non-stationary financial time series. c-ASVMS are obtained by a simple modification of the regularized risk function in SVMs whereby the recent ?-insensitive error...
Saved in:
Main Authors: | , , |
---|---|
格式: | text |
語言: | English |
出版: |
Institutional Knowledge at Singapore Management University
2003
|
主題: | |
在線閱讀: | https://ink.library.smu.edu.sg/lkcsb_research/2783 https://doi.org/10.1109/CIFER.2003.1196277 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Singapore Management University |
語言: | English |