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Complexity of Probabilistic Reasoning for Neurosymbolic Classification Techniques
Informed multi-label classification is a sub-field of neurosymbolic AI which studies how to leverage prior knowledge to improve neural classification systems.
Improving Neural-based Classification with Logical Background Knowledge
We develop a new multi-scale methodology to evaluate how the benefits of a neurosymbolic technique evolve with the scale of the network.
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