Generalised RBF networks trained using an IBL algorithm for mining symbolic data

Liviu Vladutu; Stergios Papadimitriou; Severina Mavroudi; Anastasios Bezerianos

doi:10.1007/3-540-45357-1_63

Generalised RBF networks trained using an IBL algorithm for mining symbolic data

Liviu Vladutu, Stergios Papadimitriou, Severina Mavroudi, Anastasios Bezerianos

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The application of neural networks to domains involving pre- diction and classification of symbolic data requires a reconsideration and a careful definition of the concept of distance between patterns. Tra- ditional distances are inadequate to access the differences between the symbolic patterns. This work proposes the utilization of a statistically extracted distance measure in the context of Generalized Radial Basis Function (GRBF) networks. The main properties of the GRBF networks are retained in the new metric space. The regularization potential of these networks can be realized with this type of distance. Furthermore, the recent engineering of neural networks offers effective solutions for learning smooth functionals that lie on high dimensional spaces.

Original language	English (US)
Title of host publication	Advances in Knowledge Discovery and Data Mining - 5th Pacific-Asia Conference, PAKDD 2001, Proceedings
Editors	David Cheung, Graham J. Williams, Qing Li
Publisher	Springer Verlag
Pages	587-598
Number of pages	12
ISBN (Print)	3540419101, 9783540419105
DOIs	https://doi.org/10.1007/3-540-45357-1_63
State	Published - 2001
Event	5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001 - Kowloon, Hong Kong Duration: Apr 16 2001 → Apr 18 2001

Publication series

Name	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume	2035
ISSN (Print)	0302-9743

Other

Other	5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001
Country/Territory	Hong Kong
City	Kowloon
Period	4/16/01 → 4/18/01

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/3-540-45357-1_63

Cite this

Vladutu, L., Papadimitriou, S., Mavroudi, S., & Bezerianos, A. (2001). Generalised RBF networks trained using an IBL algorithm for mining symbolic data. In D. Cheung, G. J. Williams, & Q. Li (Eds.), Advances in Knowledge Discovery and Data Mining - 5th Pacific-Asia Conference, PAKDD 2001, Proceedings (pp. 587-598). (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); Vol. 2035). Springer Verlag. https://doi.org/10.1007/3-540-45357-1_63

Generalised RBF networks trained using an IBL algorithm for mining symbolic data. / Vladutu, Liviu; Papadimitriou, Stergios; Mavroudi, Severina et al.

Advances in Knowledge Discovery and Data Mining - 5th Pacific-Asia Conference, PAKDD 2001, Proceedings. ed. / David Cheung; Graham J. Williams; Qing Li. Springer Verlag, 2001. p. 587-598 (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); Vol. 2035).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Vladutu, L, Papadimitriou, S, Mavroudi, S & Bezerianos, A 2001, Generalised RBF networks trained using an IBL algorithm for mining symbolic data. in D Cheung, GJ Williams & Q Li (eds), Advances in Knowledge Discovery and Data Mining - 5th Pacific-Asia Conference, PAKDD 2001, Proceedings. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), vol. 2035, Springer Verlag, pp. 587-598, 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001, Kowloon, Hong Kong, 4/16/01. https://doi.org/10.1007/3-540-45357-1_63

Vladutu L, Papadimitriou S, Mavroudi S, Bezerianos A. Generalised RBF networks trained using an IBL algorithm for mining symbolic data. In Cheung D, Williams GJ, Li Q, editors, Advances in Knowledge Discovery and Data Mining - 5th Pacific-Asia Conference, PAKDD 2001, Proceedings. Springer Verlag. 2001. p. 587-598. (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)). https://doi.org/10.1007/3-540-45357-1_63

Vladutu, Liviu ; Papadimitriou, Stergios ; Mavroudi, Severina et al. / Generalised RBF networks trained using an IBL algorithm for mining symbolic data. Advances in Knowledge Discovery and Data Mining - 5th Pacific-Asia Conference, PAKDD 2001, Proceedings. editor / David Cheung ; Graham J. Williams ; Qing Li. Springer Verlag, 2001. pp. 587-598 (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)).

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Generalised RBF networks trained using an IBL algorithm for mining symbolic data

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