Smoothing strategies for support vector regression and signal reconstruction
- 2022-01-10 (Mon.), 10:30 AM
- 統計所B1演講廳, 茶 會：上午10：10統計所B1演講廳。
- 英文演講，實體與線上視訊同步進行。
- Prof. Jein-Shan Chen（陳界山 教授）
- Department of Mathematics, National Taiwan Normal University (國立臺灣師範大學數學系)
Abstract
In this talk, we present two smoothing strategies to support vector regression and signal reconstruction problem, which are popular target problems in data science.
We demonstrate how smoothing functions can be involved or constructed to fit in these two types of problems. For support vector regression, we employ smoothing Newton algorithm to work along with the proposed smoothing functions, whereas the conjugate algorithm is adopted to tackle with the signal reconstruction problem.
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最後更新日期：2021-12-29 12:04
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