A Complete Investigation of Using Weighted Kernel Regression for The Case of Small Sample Problem With Noise

• Main Authors: Zuwairie, Ibrahim, Mohd Ibrahim, Shapiai, Siti Nurzulaikha, Satiman, Mohd Saberi, Mohamad, Nurul Wahidah, Arshad
• Format: Conference or Workshop Item
• Language: English
• Published: 2015
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/11347/1/A%20Complete%20Investigation%20of%20Using%20Weighted%20Kernel%20Regression%20for%20the%20Case%20of%20Small%20Sample%20Problem%20With%20Noise.pdf; http://umpir.ump.edu.my/id/eprint/11347/

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 pa...