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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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

id	ump-11347
recordtype	eprints
spelling	ump-113472018-02-08T03:22:18Z http://umpir.ump.edu.my/id/eprint/11347/ A Complete Investigation of Using Weighted Kernel Regression for The Case of Small Sample Problem With Noise Zuwairie, Ibrahim Mohd Ibrahim, Shapiai Siti Nurzulaikha, Satiman Mohd Saberi, Mohamad Nurul Wahidah, Arshad TK Electrical engineering. Electronics Nuclear engineering 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. 2015 Conference or Workshop Item PeerReviewed application/pdf en 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 Zuwairie, Ibrahim and Mohd Ibrahim, Shapiai and Siti Nurzulaikha, Satiman and Mohd Saberi, Mohamad and Nurul Wahidah, Arshad (2015) A Complete Investigation of Using Weighted Kernel Regression for The Case of Small Sample Problem With Noise. In: International Conferences on Electrical, Control and Computer Engineering (INECCE2015), 27-28 Oct 2015 , Kuantan, Pahang. . (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Zuwairie, Ibrahim Mohd Ibrahim, Shapiai Siti Nurzulaikha, Satiman Mohd Saberi, Mohamad Nurul Wahidah, Arshad A Complete Investigation of Using Weighted Kernel Regression for The Case of Small Sample Problem With Noise
description	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.
format	Conference or Workshop Item
author	Zuwairie, Ibrahim Mohd Ibrahim, Shapiai Siti Nurzulaikha, Satiman Mohd Saberi, Mohamad Nurul Wahidah, Arshad
author_facet	Zuwairie, Ibrahim Mohd Ibrahim, Shapiai Siti Nurzulaikha, Satiman Mohd Saberi, Mohamad Nurul Wahidah, Arshad
author_sort	Zuwairie, 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
publishDate	2015
url	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
first_indexed	2023-09-18T22:11:59Z
last_indexed	2023-09-18T22:11:59Z
_version_	1777415088393682944

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

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