Application of data with missing attributes in the probability RBF neural network learning and classification

Authors:
Marcin Pluciński
Affiliations:
Faculty of Computer Science and Information Systems, Technical University of Szczecin, ul. Zolnierska 49, PL-71210 Szczecin
Venue:
Artificial intelligence and security in computing systems
Year:
2003

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Abstract

The lack of some attributes in an input vector is a very frequent problem in classification tasks. In the paper there is presented an application of the probability RBF neural network to classification of samples with missing attributes and tuning of the network with incomplete data.