We have applied the GRBF based solutions to a variety of data mining prob- lems both from the engineering domain and from the commercial databases domain. Below ...

Apr 11, 2001 · This work proposes the utilization of a statistically extracted distance measure in the context of Generalized Radial Basis Function (GRBF) ...

The application of neural networks to domains involving prediction and classification of symbolic data requires a reconsideration and a careful definition ...

This work proposes an approach for building the whole network using information extracted directly from the projected training data in the space formed by the ...

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Vladutu L. et al. Generalised RBF Networks Trained Using an IBL Algorithm for Mining Symbolic Data // Lecture Notes in Computer Science. 2001. pp. 587-593.

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Generalised RBF Networks Trained Using an IBL Algorithm for Mining Symbolic Data. Advances in Knowledge Discovery and Data Mining. 2001 | Other. DOI: 10.1007/3 ...

Apr 25, 2024 · Generalised RBF Networks Trained Using an IBL Algorithm for Mining Symbolic Data. PAKDD 2001: 587-594. [+][–]. Coauthor network. maximize. Note ...

Co-authors ; Generalised RBF networks trained using an IBL algorithm for mining symbolic data. L Vladutu, S Papadimitriou, S Mavroudi, A Bezerianos. Advances in ...