I. Kollia, N. Simou, G. Stamou and A. Stafylopatis |
Interweaving Knowledge Representation and Adaptive Neural Networks |
Workshop on Inductive Reasoning and Machine Learning on the Semantic Web, Crete, Greece, June 2009 |
ABSTRACT
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Both symbolic knowledge representation systems and ma- chine learning techniques, including artificial neural networks, play a significant role in Artificial Intelligence. Interweaving these techniques, in order to achieve adaptation and robustness in classification problems is of great importance. In this paper we present a novel architecture that can provide efective connectionist adaptation of ontological knowledge. The proposed architecture can be used to improve performance of multimedia analysis and man machine interaction systems.
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01 June , 2009 |
I. Kollia, N. Simou, G. Stamou and A. Stafylopatis, "Interweaving Knowledge Representation and Adaptive Neural Networks", Workshop on Inductive Reasoning and Machine Learning on the Semantic Web, Crete, Greece, June 2009 |
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