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...

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Main Authors: LI, Juan Cao, KOK, Seng Chua, LIM, Kian Guan
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2003
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在線閱讀:https://ink.library.smu.edu.sg/lkcsb_research/2783
https://doi.org/10.1109/CIFER.2003.1196277
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機構: Singapore Management University
語言: English