Zuwairie, Ibrahim and Mohd Ibrahim, Shapiai and Siti Nurzulaikha, Satiman and Mohd Saberi, Mohamad and Nurul Wahidah, Arshad (2015) A Complete Investigation of Using Weighted Kernel Regression for The Case of Small Sample Problem With Noise. In: International Conferences on Electrical, Control and Computer Engineering (INECCE2015) , 27-28 Oct 2015 , Kuantan, Pahang. . (Unpublished)
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Abstract
Weighted kernel regression (WKR) is a kernel-based regression approach for small sample problems. Previously, for the case of small sample problems with noise, we have done preliminary studies which investigated different learning techniques and different learning functions, separately. In this paper, a complete investigation of using WKR for the case of noisy and small training samples is presented. Analysis and discussion are provided in detail.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Uncontrolled Keywords: | Weighted Kernel Regression, Small Sample Problem, Noise, Genetic Algorithm, Ridge Regression, LOOCV |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 23 Nov 2015 06:54 |
| Last Modified: | 08 Feb 2018 03:22 |
| URI: | http://umpir.ump.edu.my/id/eprint/11347 |
| Download Statistic: | View Download Statistics |
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