1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Coupling Noisy Pairwise Knowledge to the DAG Posterior for Causal Discovery
Guoliang Xu, James E Corter
External causal reports can improve structure learning from limited observations, but their reliability varies across sources and variable pairs. We introduce HB-NoisyKG, a Bayesia…
cs.LG2026
KG-SoftMAP: Soft Knowledge-Graph Priors for Bayesian Network Structure Learning from Sparse Discrete Data
Guoliang Xu, James E. Corter
Learning Bayesian network (BN) structure from sparse discrete data is hard: when each instance records only a few variables, most variable pairs lack the joint observations needed…
cs.AI2013★ 1 cited
Machine Generalization and Human Categorization: An Information-Theoretic View
James E. Corter, Mark A. Gluck
In designing an intelligent system that must be able to explain its reasoning to a human user, or to provide generalizations that the human user finds reasonable, it may be useful…