We propose an extension of recursive cascade correlation (RCC) for structured domains which is able to partially remove the causality assumption. In fact, the proposed model, i.e. contextual recursive cascade correlation, is able to exploit contextual information stored in frozen units. Experimental results, obtained on the prediction of the boiling point of alkanes, show the superiority of the proposed approach versus RCC

Recursive Cascade Correlation for Contextual Processing of Structured Data

SPERDUTI, ALESSANDRO
2002

Abstract

We propose an extension of recursive cascade correlation (RCC) for structured domains which is able to partially remove the causality assumption. In fact, the proposed model, i.e. contextual recursive cascade correlation, is able to exploit contextual information stored in frozen units. Experimental results, obtained on the prediction of the boiling point of alkanes, show the superiority of the proposed approach versus RCC
2002
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
0780372786
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/1369518
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