The ALARM Monitoring System: A Case Study with two Probabilistic Inference Techniques for Belief Networks. - Ingo A. Beinlich; Henri Jacques Suermondt; R. Martin Chavez; Gregory F. Cooper (AIME, 1989)

A combination of cutset conditioning with clique-tree propagation in the Pathfinder system. - Henri Jacques Suermondt; Gregory F. Cooper; David Heckerman (UAI, 1990)

Probabilistic inference in multiply connected belief networks using loop cutsets. - Henri Jacques Suermondt; Gregory F. Cooper (Int. J. Approx. Reason., 1990)

Initialization for the Method of Conditioning in Bayesian Belief Networks. - Henri Jacques Suermondt; Gregory F. Cooper (Artif. Intell., 1991)

A combination of exact algorithms for inference on Bayesian belief networks. - Henri Jacques Suermondt; Gregory F. Cooper (Int. J. Approx. Reason., 1991)

Probabilistic and Bayesian Representations of Uncertainty in Information Systems: A Pragmatic Introduction. - Max Henrion; Henri Jacques Suermondt; David Heckerman (Uncertainty Management in Information Systems, 1996)

Using Genetic Programming to Obtain a Closed-Form Approximation to a Recursive Function. - Evan Kirshenbaum; Henri Jacques Suermondt (GECCO (2), 2004)

Bounded Conditioning: Flexible Inference for Decisions under Scarce Resources - Eric Horvitz; Henri Jacques Suermondt; Gregory F. Cooper (CoRR, 2013)

Updating Probabilities in Multiply-Connected Belief Networks - Henri Jacques Suermondt; Gregory F. Cooper (CoRR, 2013)