A complete investigation of using weighted kernel regression for the case of small sample problem with noise

• المؤلفون الرئيسيون: Shapiai, Mohd. Ibrahim, Mohamad, Mohd. Saberi, Satiman, Siti Nurzulaikha, Arshad, Nurul Wahidah, Ibrahim, Zuwairie
• التنسيق: مقال
• منشور في: Asian Research Publishing Network 2015
• الموضوعات: QA75 Electronic computers. Computer science
• الوصول للمادة أونلاين: http://eprints.utm.my/id/eprint/60074/
• المؤسسة: Universiti Teknologi Malaysia

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...