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This paper provides its computational complexity analysis for ontologies specified in (the Description Logic counterpart of) RDFS, and binary Multi-Layer Perceptrons, and binary Multi-Layer Perceptrons.
A novel neuro-symbolic research path is presented that bridges sub-symbolic Machine Learning classifiers with symbolic techniques from the Knowledge Representation and Reasoning field and enables reasoning simultaneously on both the raw data features used by the classifiers and a symbolic intensional knowledge specifie...
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