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

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 pa...

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Bibliographic Details
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/
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

Internet

http://umpir.ump.edu.my/id/eprint/11347/
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

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