Simulation Approaches to General Probabilistic Inference on Belief Networks. - Ross D. Shachter; Mark A. Peot (UAI, 1989)

Fusion and Propagation with Multiple Observations in Belief Networks. - Mark A. Peot; Ross D. Shachter (Artif. Intell., 1991)

Decision Making Using Probabilistic Inference Methods. - Ross D. Shachter; Mark A. Peot (UAI, 1992)

Threat-Removal Strategies for Partial-Order Planning. - Mark A. Peot; David E. Smith 001 (AAAI, 1993)

Postponing Threats in Partial-Order Planning. - David E. Smith 001; Mark A. Peot (AAAI, 1993)

Suspending Recursion in Causal-Link Planning. - David E. Smith 001; Mark A. Peot (AIPS, 1996)

Geometric Implications of the Naive Bayes Assumption. - Mark A. Peot (UAI, 1996)

Learning From What You Don't Observe. - Mark A. Peot; Ross D. Shachter (UAI, 1998)

A Compositional Structured Query Approach to Automated Inference. - Yousri El Fattah; Mark A. Peot (KR, 2000)

A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties. - David J. Schodt; Ryan C. Brown; Michael Merritt; Samuel Park; Delsin Menolascino; Mark A. Peot (CoRR, 2024)