A modified generalized RBF model with EM-based learning algorithm for medical applications

Radial Basis Function (RBF) has been widely used in different fields, due to its fast learning and interpretability of its solution. One problem of classical RBF is that it suffers from curse of dimensionality that the number of basis functions will explode with the increase of dimensions in the dat...

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Main Authors:	Ma, Li Ya, Abdul Rahman, Abdul Wahab, Quek, Chai
Format:	Conference or Workshop Item
Language:	English
Published:	2006
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/38177/ http://irep.iium.edu.my/38177/ http://irep.iium.edu.my/38177/1/A_Modified_Generalized_RBF_Model_with_EM-based_Learning_Algorithm_for_Medical_Applications.pdf

id	iium-38177
recordtype	eprints
spelling	iium-381772014-09-17T07:03:00Z http://irep.iium.edu.my/38177/ A modified generalized RBF model with EM-based learning algorithm for medical applications Ma, Li Ya Abdul Rahman, Abdul Wahab Quek, Chai T Technology (General) Radial Basis Function (RBF) has been widely used in different fields, due to its fast learning and interpretability of its solution. One problem of classical RBF is that it suffers from curse of dimensionality that the number of basis functions will explode with the increase of dimensions in the dataset. This explosion usually impairs the usefulness and interpretability of RBF, especially in medical applications, where the dimensions of dataset are high and the explanations of solutions are important. In this paper, we propose a generalized RBF (GRBF) model to reduce the number of basis functions and thus alleviate curse of dimensionality. An EM-based training algorithm is also introduced, which uses fewer parameters compared to some classical supervised learning methods. This will make the learning process simpler and more convenient in practice. Moreover, GRBF trained by the new algorithm has an apparent statistical meaning. Experimental results show potentials for real-life applications. 2006-06 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/38177/1/A_Modified_Generalized_RBF_Model_with_EM-based_Learning_Algorithm_for_Medical_Applications.pdf Ma, Li Ya and Abdul Rahman, Abdul Wahab and Quek, Chai (2006) A modified generalized RBF model with EM-based learning algorithm for medical applications. In: Nineteenth IEEE International Symposium on Computer-Based Medical Systems, 22–23 June 2006, Salt Lake City, Utah. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1647584&tag=1
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Ma, Li Ya Abdul Rahman, Abdul Wahab Quek, Chai A modified generalized RBF model with EM-based learning algorithm for medical applications
description	Radial Basis Function (RBF) has been widely used in different fields, due to its fast learning and interpretability of its solution. One problem of classical RBF is that it suffers from curse of dimensionality that the number of basis functions will explode with the increase of dimensions in the dataset. This explosion usually impairs the usefulness and interpretability of RBF, especially in medical applications, where the dimensions of dataset are high and the explanations of solutions are important. In this paper, we propose a generalized RBF (GRBF) model to reduce the number of basis functions and thus alleviate curse of dimensionality. An EM-based training algorithm is also introduced, which uses fewer parameters compared to some classical supervised learning methods. This will make the learning process simpler and more convenient in practice. Moreover, GRBF trained by the new algorithm has an apparent statistical meaning. Experimental results show potentials for real-life applications.
format	Conference or Workshop Item
author	Ma, Li Ya Abdul Rahman, Abdul Wahab Quek, Chai
author_facet	Ma, Li Ya Abdul Rahman, Abdul Wahab Quek, Chai
author_sort	Ma, Li Ya
title	A modified generalized RBF model with EM-based learning algorithm for medical applications
title_short	A modified generalized RBF model with EM-based learning algorithm for medical applications
title_full	A modified generalized RBF model with EM-based learning algorithm for medical applications
title_fullStr	A modified generalized RBF model with EM-based learning algorithm for medical applications
title_full_unstemmed	A modified generalized RBF model with EM-based learning algorithm for medical applications
title_sort	modified generalized rbf model with em-based learning algorithm for medical applications
publishDate	2006
url	http://irep.iium.edu.my/38177/ http://irep.iium.edu.my/38177/ http://irep.iium.edu.my/38177/1/A_Modified_Generalized_RBF_Model_with_EM-based_Learning_Algorithm_for_Medical_Applications.pdf
first_indexed	2023-09-18T20:54:48Z
last_indexed	2023-09-18T20:54:48Z
_version_	1777410233084149760

A modified generalized RBF model with EM-based learning algorithm for medical applications

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