DefinePK

DefinePK hosts the largest index of Pakistani journals, research articles, news headlines, and videos. It also offers chapter-level book search.

Select Collection

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

Article Information

Get PDF View Article
Login to Add in Library

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

Authors: Zuwairie Ibrahim, Mohd Ibrahim Shapiai, Siti Nurzulaikha Satiman, Mohd Saberi Mohamad, Nurul Wahidah Arshad

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 23

Language: English

Categories
Statistical Modeling (248) Noisy Data (1) Regression Analysis (182) Machine Learning (3478) Kernel Methods (4)

Abstract

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.

Paper summary is not available for this article yet.

Loading PDF...

Loading Statistics...