A complete investigation of using weighted kernel regression for the case of small sample problem with noise
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 pape...
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my.utm.600742021-08-15T09:33:15Z http://eprints.utm.my/id/eprint/60074/ A complete investigation of using weighted kernel regression for the case of small sample problem with noise Shapiai, Mohd. Ibrahim Mohamad, Mohd. Saberi Satiman, Siti Nurzulaikha Arshad, Nurul Wahidah Ibrahim, Zuwairie QA75 Electronic computers. Computer science 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. Asian Research Publishing Network 2015 Article PeerReviewed 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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QA75 Electronic computers. Computer science Shapiai, Mohd. Ibrahim Mohamad, Mohd. Saberi Satiman, Siti Nurzulaikha Arshad, Nurul Wahidah Ibrahim, Zuwairie A complete investigation of using weighted kernel regression for the case of small sample problem with noise |
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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. |
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Article |
author |
Shapiai, Mohd. Ibrahim Mohamad, Mohd. Saberi Satiman, Siti Nurzulaikha Arshad, Nurul Wahidah Ibrahim, Zuwairie |
author_facet |
Shapiai, Mohd. Ibrahim Mohamad, Mohd. Saberi Satiman, Siti Nurzulaikha Arshad, Nurul Wahidah Ibrahim, Zuwairie |
author_sort |
Shapiai, Mohd. Ibrahim |
title |
A complete investigation of using weighted kernel regression for the case of small sample problem with noise |
title_short |
A complete investigation of using weighted kernel regression for the case of small sample problem with noise |
title_full |
A complete investigation of using weighted kernel regression for the case of small sample problem with noise |
title_fullStr |
A complete investigation of using weighted kernel regression for the case of small sample problem with noise |
title_full_unstemmed |
A complete investigation of using weighted kernel regression for the case of small sample problem with noise |
title_sort |
complete investigation of using weighted kernel regression for the case of small sample problem with noise |
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Asian Research Publishing Network |
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2015 |
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http://eprints.utm.my/id/eprint/60074/ |
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1709667358480531456 |
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13.18916 |