Shapiai, Mohd. Ibrahim and Mohamad, Mohd. Saberi and Satiman, Siti Nurzulaikha and Arshad, Nurul Wahidah and Ibrahim, Zuwairie (2015) A complete investigation of using weighted kernel regression for the case of small sample problem with noise. ARPN Journal of Engineering and Applied Sciences, 10 (23). pp. 17514-17520. ISSN 1819-6608
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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: | Article |
|---|---|
| Uncontrolled Keywords: | noise, ridge regression, small sample problem, weighted kernel regression |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computing |
| ID Code: | 60074 |
| Deposited By: | Haliza Zainal |
| Deposited On: | 24 Jan 2017 02:54 |
| Last Modified: | 15 Aug 2021 09:33 |
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