Cooper, G.

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KSL-92-16

Suermondt, H. J. & Cooper, G. F. An Evaluation of Explanations of Probabilistic Inference. 1993.

KSL-92-16

Suermondt, H. J. & Cooper, G. F. An Evaluation of Explanations of Probabilistic Inference. Washington, D.C., 1992.

KSL-91-02

Cooper, G. F. & Herskovits, E. A Bayesian Method for the Induction of Probabilistic Networks from Data. Knowledge Systems Laboratory, January, 1991.

KSL-90-05

Cooper, G. F. Bayesian Belief-Network Inference Using Recursive Decomposition. KSL, July, 1992.

KSL-90-09

Shwe, M.; Middleton, B.; Heckerman, D.; Henrion, M.; Horvitz, E.; Lehmann, H.; & Cooper, G. Probabilistic Diagnosis Using a Reformulation of the INTERNIST-1/QMR Knowledge Base I. The Probabilistic Model and Inference Algorithms. 1991.

KSL-90-11

Shwe, M.; Middleton, B.; Heckerman, D.; Henrion, M.; Horvitz, E.; Lehmann, H.; & Cooper, G. A Probabilistic Reformulation of the Quick Medical Reference System. 1990.

KSL-90-21

Cooper, G. & Herskovits, E. Determination of the Entropy of a Belief Network is NP-Hard. KSL, June, 1991.

KSL-90-22

Herskovits, E. & Cooper, G. Kutato: An Entropy-Driven System for Construction of Probabilistic Expert Systems from Databases. KSL, March, 1990.

KSL-90-23

Shwe, M. & Cooper, G. An Empirical Analysis of Likelihood-Weighting Simulation on a Large, Multiply-Connected Belief Network. 1991.

KSL-90-34

Cooper, G. The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks. 1990.

KSL-90-36

Chavez, R. M. & Cooper, G. F. A Randomized Approximation Algorithm for Logic Sampling. Knowledge Systems Laboratory, May, 1990.

KSL-90-47

Suermondt, H. J.; Cooper, G. F.; & Heckerman, D. A Combination of Cutset Conditioning with Clique-Tree Propagation in the Pathfinder System. Elsevier Science Publishers, 1992.

KSL-90-47

Suermondt, H. J. & Cooper, G. F. A Combination of Exact Algorithms for Inference on Bayesian Belief Networks. 1991.

KSL-90-68

Middleton, B.; Shwe, M.; Heckerman, D.; Henrion, M.; Horvitz, E.; Lehmann, H.; & Cooper, G. Probabilistic Diagnosis Using a Reformulation of the INTERNIST-1/QMR Knowledge Base II. Evaluation of Diagnostic Performance. 1991.

KSL-90-70

Shiffman, S.; Wu, A.; Poon, A.; Lane, C.; Middleton, B.; Miller, R.; Masarie, F.; Cooper, G.; Shortliffe, E.; & Fagan, L. Building a Speech Interface to a Medical Diagnostic System. 1991.

KSL-89-01

Horvitz, E. J.; Heckerman, D. E.; & Cooper, G. F. Reflection and Action Under Scarce Resources: Theoretical Principles and Empirical Study. 1989.

KSL-89-17

Suermondt, H. J. & Cooper, G. F. Probabilistic Inference in Multiply Connected Brief Networks Using Loop Cutsets. 1989.

KSL-89-31

Chavez, M. R. & Cooper, G. F. An Empirical Evaluation of a Randomized Algorithm for Probabilistic Inference. Elsevier Science Publishers B.V., North-Holland, 1989.

KSL-89-35

Herskovits, E. & Cooper, G. F. Algorithms for Bayesian Belief-Network Precomputation. 1991.

KSL-89-42

Horvitz, E. J.; Suermondt, H. J.; & Cooper, G. F. Bounded Conditioning: Flexible Inference for Decisions Under Scarce Resources. Association for Uncertainty in Artificial Intelligence, WIndsor, ON, 1989.

KSL-89-61

Suermondt, H. J. & Cooper, G. F. Initialization for the Method of Conditioning in Bayesian Belief Networks. 1989.

KSL-88-27

Suermondt, H. J. & Cooper, G. F. Updating Probabilities in Multiply Connected Belief Networks. March, 1988.

KSL-88-30

Cooper, G.; Horvitz, E.; & Heckerman, D. A Method for Temporal Probabilistic Reasoning. October, 1990.

KSL-88-47

Chavez, R. M. & Cooper, G. F. KNET: Integrating Hypertext and Normative Bayesian Modeling. 1988, 1988.

KSL-88-72

Chavez, R. M. & Cooper, G. F. A Randomized Approximation Algorithm for Probabilistic Inference on Bayesian Belief Networks. Working Paper, October, 1989.

KSL-88-84

Beinlich, I. A.; Suermondt, H. J.; Chavez, R. M.; & Cooper, G. F. The ALARM Monitoring System: A Case Study with Two Probablistic Inference Techniques for Belief Networks. 1989.

KSL-87-21

Cooper, G. F. An Algorithm for Computing Propositions. June, 1987.

KSL-87-22

Chin, H. L. & Cooper, G. F. Stochastic Simulation of Casual Bayesian Models. North-Holland, 1988.

KSL-87-24

Chin, H. L. & Cooper, G. F. Knowledge-Based Patient Simulation. 1987.

KSL-87-27

Cooper, G. F. Probabilistic Inference Using Belief Networks Is NP-Hard. Knowledge Systems Laboratory, 1987.

KSL-87-48

Cooper, G. F. Computer-Based Medical Diagnosis Using Belief Networks and Bounded Probabilities. 1988.

KSL-87-51

Cooper, G. F. Expert Systems Based on Belief Networks - Current Research Directions. February, 1988.

KSL-86-09

Cooper, G. F. A Diagnostic Method That Uses Casual Knowledge and Linear Programming in the Application of Bayes' Formula. 1986.

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