2000 |
14 | | Paul Dagum,
Richard M. Karp,
Michael Luby,
Sheldon M. Ross:
An Optimal Algorithm for Monte Carlo Estimation.
SIAM J. Comput. 29(5): 1484-1496 (2000) |
1997 |
13 | EE | Paul Dagum,
Michael Luby:
An Optimal Approximation Algorithm for Bayesian Inference.
Artif. Intell. 93: 1-27 (1997) |
1996 |
12 | EE | Malcolm Pradhan,
Paul Dagum:
Optimal Monte Carlo Estimation of Belief Network Inference.
UAI 1996: 446-453 |
1995 |
11 | | Paul Dagum,
Richard M. Karp,
Michael Luby,
Sheldon M. Ross:
An Optimal Algorithm for Monte Carlo Estimation (Extended Abstract).
FOCS 1995: 142-149 |
10 | EE | Paul Dagum,
Adam Galper:
Time series prediction using belief network models.
Int. J. Hum.-Comput. Stud. 42(6): 617-632 (1995) |
1993 |
9 | EE | Paul Dagum,
Adam Galper:
Forecasting Sleep Apnea with Dynamic Network Models.
UAI 1993: 64-71 |
8 | EE | Paul Dagum,
Adam Galper:
Additive Belief-Network Models.
UAI 1993: 91-98 |
7 | | Paul Dagum,
Michael Luby:
Approximating Probabilistic Inference in Bayesian Belief Networks is NP-Hard.
Artif. Intell. 60(1): 141-153 (1993) |
6 | EE | Paul Dagum,
R. Martin Chavez:
Approximating Probabilistic Inference in Bayesian Belief Networks.
IEEE Trans. Pattern Anal. Mach. Intell. 15(3): 246-255 (1993) |
5 | EE | Fan R. K. Chung,
Richard Cleve,
Paul Dagum:
A Note on Constructive Lower Bounds for the Ramsey Numbers R(3, t).
J. Comb. Theory, Ser. B 57(1): 150-155 (1993) |
1992 |
4 | EE | Paul Dagum,
Adam Galper,
Eric Horvitz:
Dynamic Network Models for Forecasting.
UAI 1992: 41-48 |
3 | EE | Paul Dagum,
Eric Horvitz:
Reformulating Inference Problems Through Selective Conditioning.
UAI 1992: 49-54 |
2 | | Paul Dagum,
Michael Luby:
Approximating the Permanent of Graphs with Large Factors.
Theor. Comput. Sci. 102(2): 283-305 (1992) |
1988 |
1 | | Paul Dagum,
Michael Luby,
Milena Mihail,
Umesh V. Vazirani:
Polytopes, Permanents and Graphs with Large Factors
FOCS 1988: 412-421 |