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- Max Henrion
- UAI
- 1986

- Marek J. Druzdzel, Max Henrion
- AAAI
- 1993

- Max Henrion
- UAI
- 1987

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 noisyMAX, a generalization of the noisy-OR gate, is used to model causal independence in a BN with multivalued variables. We describe the use of leak probabilities to enforce the… (More)

- Brittany Middleton, Michael Shwe, +4 authors Gregory F. Cooper
- Methods of information in medicine
- 1991

We have developed a probabilistic reformulation of the Quick Medical Reference (QMR) system. In Part I of this two-part series, we described a two-level, multiply connected belief-network representation of the QMR knowledge base and a simulation algorithm to perform probabilistic inference on the reformulated knowledge base. In Part II of this series, we… (More)

- Max Henrion, John S. Breese, Eric Horvitz
- AI Magazine
- 1991

64 AI MAGAZINE of the serial computer. Despite common roots, AI soon distinguished itself in its concern with autonomous problem solving and its emphasis on symbolic, rather than numeric, information. Some of the earliest AI research addressed approximations and heuristics for complex tasks in decisiontheoretic formulations (Simon 1955), and early work on… (More)

- Max Henrion
- UAI
- 1991

Since exact probabilistic inference is intractable in general for large multiply connected belief nets, approximate methods are required. A promising approach is to use heuristic search among hypotheses (instantiations of the network) to find the most probable ones, as in the TopN algorithm. Search is based on the relative probabilities of hypotheses which… (More)

- Eric Horvitz, John S. Breese, Max Henrion
- Int. J. Approx. Reasoning
- 1988

Despite their di erent perspectives, arti cial intelligence (AI) and the disciplines of decision science have common roots and strive for similar goals. This paper surveys the potential for addressing problems in representation, inference, knowledge engineering, and explanation within the decision-theoretic framework. Recent analyses of the restrictions of… (More)

- Michael Shwe, Brittany Middleton, +4 authors Gregory F. Cooper
- Methods of information in medicine
- 1991

In Part I of this two-part series, we report the design of a probabilistic reformulation of the Quick Medical Reference (QMR) diagnostic decision-support tool. We describe a two-level multiply connected belief-network representation of the QMR knowledge base of internal medicine. In the belief-network representation of the QMR knowledge base, we use… (More)

- Malcolm Pradhan, Max Henrion, Gregory M. Provan, Brendan Del Favero, Kurt Huang
- Artif. Intell.
- 1996

Bayesian belief networks are being increasingly used as a knowledge representation for reasoning under uncertainty. Some researchers have questioned the practicality of obtaining the numerical probabilities with sucient precision to create belief networks for large-scale applications. In this work, we i n v estigate how precise the probabilities need to be… (More)