AINeutralarXiv – CS AI · 6h ago6/10
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KG-SoftMAP: Soft Knowledge-Graph Priors for Bayesian Network Structure Learning from Sparse Discrete Data
KG-SoftMAP is a novel machine learning method that improves Bayesian network structure learning from sparse discrete data by integrating imperfect domain knowledge as weighted soft priors. The approach combines expert-curated or LLM-extracted knowledge graphs with statistical scoring, demonstrating superior structure recovery on synthetic benchmarks and practical utility on real educational datasets.