Smoothing strategies for support vector regression and signal reconstruction
- 2022-01-10 (Mon.), 10:30 AM
- The tea reception will be held at 10:10 at the Auditorium, B1F, Institute of Statistical Science.
- Lecture in English. Online live streaming through Microsoft Teams will be available.
- Prof. Jein-Shan Chen
- Department of Mathematics, National Taiwan Normal University
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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Update：2021-12-29 12:02
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