-
1
-
-
58449123441
-
Fast-division architecture for Dempster-Shafer belief functions
-
D. Gabbay, R. Kruse, A. Nonnengart and H.J. Ohlbach (eds.), Qualitative and Quantitative Practical Reasoning, First International Joint Conference on Qualitative and Quantitative Practical Reasoning; ECSQARU FAPR’97, Springer
-
Bissig, R., Kohlas, J., Lehmann, N. (1997). Fast-division architecture for Dempster-Shafer belief functions. D. Gabbay, R. Kruse, A. Nonnengart and H.J. Ohlbach (eds.), Qualitative and Quantitative Practical Reasoning, First International Joint Conference on Qualitative and Quantitative Practical Reasoning; ECSQARU FAPR’97. Lecture Notes in Artificial Intelligence. Springer.
-
(1997)
Lecture Notes in Artificial Intelligence
-
-
Bissig, R.1
Kohlas, J.2
Lehmann, N.3
-
2
-
-
0000516376
-
Upper and lower probabilities induced by a multivalued mapping
-
Dempster, A.P. (1967). Upper and lower probabilities induced by a multivalued mapping. Annals of Mathematical Statistics, (38):325-339.
-
(1967)
Annals of Mathematical Statistics
, Issue.38
, pp. 325-339
-
-
Dempster, A.P.1
-
3
-
-
0007245113
-
Importance sampling algorithms for belief networks based on approximate computation
-
Hernández, L.D., Moral, S., Salmerón, A. (1996). Importance sampling algorithms for belief networks based on approximate computation. Proceedings of the Sixth International Conference IPMU’96. Vol. II, 859-864.
-
(1996)
Proceedings of the Sixth International Conference IPMU’96
, vol.2
, pp. 859-864
-
-
Hernández, L.D.1
Moral, S.2
Salmerón, A.3
-
4
-
-
0007178970
-
A Monte Carlo algorithm for probabilistic propagation based on importance sampling and stratified simulation techniques
-
Hernández, L.D., Moral, S., Salmerón, A. (1998). A Monte Carlo algorithm for probabilistic propagation based on importance sampling and stratified simulation techniques. International Journal of Approximate Reasoning, (18):53-91.
-
(1998)
International Journal of Approximate Reasoning
, Issue.18
, pp. 53-91
-
-
Hernández, L.D.1
Moral, S.2
Salmerón, A.3
-
6
-
-
9944243666
-
Importance sampling algorithms for the calculation of Dempster-Shafer belief
-
Moral, S., Wilson, N. (1996). Importance sampling algorithms for the calculation of Dempster-Shafer belief. Proceedings of the IPMU-96 Conference, Vol. 3, 1337-1344.
-
(1996)
Proceedings of the IPMU-96 Conference
, vol.3
, pp. 1337-1344
-
-
Moral, S.1
Wilson, N.2
-
7
-
-
0025460756
-
Dempster’s rule is #P-complete
-
Orponen, P. (1990). Dempster’s rule is #P-complete. Artificial Intelligence, (44):245-253.
-
(1990)
Artificial Intelligence
, Issue.44
, pp. 245-253
-
-
Orponen, P.1
-
9
-
-
84947944959
-
HUGIN architecture for propagating belief functions
-
Data Analysis Group. University of Almería
-
Salmerón, A., Jensen, F.V. (1997). HUGIN architecture for propagating belief functions. Technical Report #GAD9702. Data Analysis Group. University of Almería.
-
(1997)
Technical Report #GAD9702
-
-
Salmerón, A.1
Jensen, F.V.2
-
11
-
-
0010597831
-
A Monte Carlo algorithm for Dempster-Shafer belief
-
B. D’Ambrosio, P. Smets and P. Bonissone (eds.), Morgan Kaufmann, 1991
-
Wilson, N. (1991). A Monte Carlo algorithm for Dempster-Shafer belief. Proc. of the 7th, Conference on Uncertainty in Artificial Intelligence, B. D’Ambrosio, P. Smets and P. Bonissone (eds.), Morgan Kaufmann, 1991.
-
(1991)
Proc. of the 7th, Conference on Uncertainty in Artificial Intelligence
-
-
Wilson, N.1
|