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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/11347/1/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/
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spelling my.ump.umpir.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)
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
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/11347/1/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/
_version_ 1643666640608428032
score 13.209306

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