62 citations · 85 across the 3 of their papers we have counts for
3 papers
Knowledge Engineering for Large Belief Networks
Malcolm Pradhan, Gregory M. Provan, Blackford Middleton +1
We present several techniques for knowledge engineering of large belief networks (BNs) based on the our experiences with a network derived from a large medical knowledge base. The…
Optimal Monte Carlo Estimation of Belief Network Inference
Malcolm Pradhan, Paul Dagum
We present two Monte Carlo sampling algorithms for probabilistic inference that guarantee polynomial-time convergence for a larger class of network than current sampling algorithms…
Why Is Diagnosis Using Belief Networks Insensitive to Imprecision In Probabilities?
Max Henrion, Malcolm Pradhan, Brendan del Favero +3
Recent research has found that diagnostic performance with Bayesian belief networks is often surprisingly insensitive to imprecision in the numerical probabilities. For example, th…