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

• Main Authors: Shapiai, Mohd. Ibrahim, Mohamad, Mohd. Saberi, Satiman, Siti Nurzulaikha, Arshad, Nurul Wahidah, Ibrahim, Zuwairie
• Format: Article
• Published: Asian Research Publishing Network 2015
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/60074/
• Institution: 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...