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Steffen H

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IJCAI Conference 2007 Conference Paper

Sebastian Bader
Pascal Hitzler
Steffen H
ouml; lldobler
Andreas Witzel

We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples, we embed the associated semantic operator into a feed-forward network and train the network using the examples. This results in the learning of first-order knowledge while damaged or noisy data is handled gracefully.

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