Dagum, P.

KSL-95-73

Dagum, P.; Karp, R.; Luby, M.; & Ross, S. An Optimal Algorithm for Monte Carlo Estimation (Extended Abstract). Knowledge Systems Laboratory, Medical Computer Science, September, 1995.

KSL-95-74

Dagum, P. & Galper, A. Time-series prediction using belief network models. 1995.

KSL-94-04

Dagum, P.; Galper, A.; & Seiver, A. Automating ARDS Management: A Dynamical Systems Approach. Knowledge Systems Laboratory, Medical Computer Science, February, 1994.

KSL-94-57

Dagum, P. & Luby, M. On the Approximation of Probabilistic Inference. Knowledge Systems Laboratory, Medical Computer Science, September, 1994.

KSL-93-01

Dagum, P. & Galper, A. Additive Belief-Network Models. Washington, D.C, 1993.

KSL-93-20

Dagum, P. & Galper, A. Sleep Apnea Forecasting with Dynamic Network Models. Washington, D.C, 1993.

KSL-93-47

Dagum, P.; Galper, A.; Horvitz, E.; & Seiver, A. Uncertain Reasoning and Forecasting. 1993.

KSL-92-50

Dagum, P. & Horvitz, E. J. Reformulating Inference Problems through Selective Conditioning. Stanford, CA, 1992.

KSL-92-51

Dagum, P.; Galper, A.; & Horvitz, E. J. Dynamic Network Models for Forecasting. Stanford, CA, 1992.

KSL-91-46

Dagum, P. & Chavez, R. M. Approximating Probabilistic Inference in Bayesian Belief Networks. 1991.

KSL-91-49

Dagum, P.; Shachter, R.; & Fagan, L. Modeling time in belief networks. Knowledge Systems Laboratory, November, 1991.

KSL-91-53

Dagum, P. & Luby, M. Approximating Probabilistic Inference in Bayesian Belief Networks is NP-Hard. April, 1993.

KSL-91-54

Dagum, P. & Horvitz, E. A Bayesian Analysis of Randomized Approximation Procedures. Knowledge Systems Laboratory, September, 1991.

KSL-91-64

Dagum, P.; Galper, A.; & Horvitz, E. Temporal Probabilistic Reasoning: Dynamic Network Models for Forecasting. Knowledge Systems Laboratory, June, 1991.

KSL-91-67

Dagum, P. & Horvitz, E. A Bayesian Analysis of Simulation Algorithms for Inference in Belief Networks. 1993.