Learning Symbolic Constraint Representations from Examples: A Neuro-Symbolic Approach
arXiv:2609.12267v1 Announce Type: new Abstract: Learning user-defined concepts as constraint networks has been extensively studied in the constraint acquisition (CA) literature. However, existing approaches typically rely on intensive...
Read more: https://arxiv.org/abs/2609.12267
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