-
2
-
-
0025401005
-
The computational complexity of probabilistic inference using Bayesian belief networks
-
G.F. Cooper, The computational complexity of probabilistic inference using Bayesian belief networks, Artificial Intelligence 42 (2-3) (1990) 393-405.
-
(1990)
Artificial Intelligence
, vol.42
, Issue.2-3
, pp. 393-405
-
-
Cooper, G.F.1
-
3
-
-
0001957787
-
Fast retraction of evidence in a probabilistic expert system
-
R.G. Cowell, A.P. Dawid, Fast retraction of evidence in a probabilistic expert system, Statist. Comput. 2 (1992) 37-40.
-
(1992)
Statist. Comput.
, vol.2
, pp. 37-40
-
-
Cowell, R.G.1
Dawid, A.P.2
-
5
-
-
0002829353
-
Local expression language for probabilistic dependence
-
B. D'Ambrosio, Local expression language for probabilistic dependence, Internat. J. Approx. Reason. 13 (1) (1995) 61-81.
-
(1995)
Internat. J. Approx. Reason.
, vol.13
, Issue.1
, pp. 61-81
-
-
D'Ambrosio, B.1
-
7
-
-
0003064380
-
Applications of a general propagation algorithm for probabilistic expert systems
-
A.P. Dawid, Applications of a general propagation algorithm for probabilistic expert systems, Statist. Comput. 2 (1992) 25-36.
-
(1992)
Statist. Comput.
, vol.2
, pp. 25-36
-
-
Dawid, A.P.1
-
9
-
-
85012708436
-
d-separation: From theorems to algorithms
-
M. Henrion, R.D. Shachter, L.N. Kanal, J.F. Lemmer (Eds.), Elsevier Science, Amsterdam
-
D. Geiger, T.S. Verma, J. Pearl, d-separation: From theorems to algorithms, in: M. Henrion, R.D. Shachter, L.N. Kanal, J.F. Lemmer (Eds.), Uncertainty in Artificial Intelligence 5, Elsevier Science, Amsterdam, 1990, pp. 139-148.
-
(1990)
Uncertainty in Artificial Intelligence
, vol.5
, pp. 139-148
-
-
Geiger, D.1
Verma, T.S.2
Pearl, J.3
-
11
-
-
0001861652
-
A new look at causal independence
-
Seattle, WA
-
D. Heckerman, J.S. Breese, A new look at causal independence, in: Proc. 10th Conference on Uncertainty in Artificial Intelligence, Seattle, WA, 1994, pp. 286-292.
-
(1994)
Proc. 10th Conference on Uncertainty in Artificial Intelligence
, pp. 286-292
-
-
Heckerman, D.1
Breese, J.S.2
-
16
-
-
84987047423
-
An algebra of Bayesian belief universes for knowledge-based systems
-
F.V. Jensen, K.G. Olesen, S.K. Andersen, An algebra of Bayesian belief universes for knowledge-based systems, Networks 20 (1990) 637-659.
-
(1990)
Networks
, vol.20
, pp. 637-659
-
-
Jensen, F.V.1
Olesen, K.G.2
Andersen, S.K.3
-
17
-
-
4244181223
-
Inference in Bayesian networks using nested junction trees
-
U. Kjærulff, Inference in Bayesian networks using nested junction trees, Learning in Graphical Models 89 (1998) 51-74.
-
(1998)
Learning in Graphical Models
, vol.89
, pp. 51-74
-
-
Kjærulff, U.1
-
18
-
-
0001006209
-
Local computations with probabilities on graphical structures and their application to expert systems
-
S.L. Lauritzen, D.J. Spiegelhalter, Local computations with probabilities on graphical structures and their application to expert systems, J. Roy. Statist. Soc. B. 50 (2) (1988) 157-224.
-
(1988)
J. Roy. Statist. Soc. B.
, vol.50
, Issue.2
, pp. 157-224
-
-
Lauritzen, S.L.1
Spiegelhalter, D.J.2
-
19
-
-
0028466297
-
Efficient inference in Bayes networks as a combinatorial optimization problem
-
Z. Li, B. D'Ambrosio, Efficient inference in Bayes networks as a combinatorial optimization problem, Internat. J. Approx. Reason 11 (1) (1994) 55-81.
-
(1994)
Internat. J. Approx. Reason
, vol.11
, Issue.1
, pp. 55-81
-
-
Li, Z.1
D'Ambrosio, B.2
-
20
-
-
0345231638
-
Relevant-based sequential evidence processing in Bayesian networks
-
Y. Lin, M.J. Druzdzel, Relevant-based sequential evidence processing in Bayesian networks, in: Proc. 11th International FLAIRS Conference, 1998, pp. 446-450.
-
(1998)
Proc. 11th International FLAIRS Conference
, pp. 446-450
-
-
Li, Y.1
Druzdzel, M.J.2
-
21
-
-
0141667436
-
Independence of causal influence and lazy propagation
-
London, UK
-
A.L. Madsen, B. D'Ambrosio, Independence of causal influence and lazy propagation, in: Proc. 5th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, London, UK, 1999, pp. 293-304.
-
(1999)
Proc. 5th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
, pp. 293-304
-
-
Madsen, A.L.1
D'Ambrosio, B.2
-
22
-
-
0024904138
-
A MUNIN network for the median nerve - A case study on loops
-
Special issue: Towards causal AI models in practice.
-
K.G. Olesen, U. Kjærulff, F. Jensen, F.V. Jensen, B. Falck, S. Andreassen, S.K. Andersen, A MUNIN network for the median nerve - A case study on loops, Appl. Artificial Intelligence 3 (1989) 255-277. Special issue: Towards causal AI models in practice.
-
(1989)
Appl. Artificial Intelligence
, vol.3
, pp. 255-277
-
-
Olesen, K.G.1
Kjærulff, U.2
Jensen, F.3
Jensen, F.V.4
Falck, B.5
Andreassen, S.6
Andersen, S.K.7
-
24
-
-
0032116450
-
Some improvements to the Shenoy-Shafer and Hugin architectures for computing marginals
-
T. Schmidt, P.P. Shenoy, Some improvements to the Shenoy-Shafer and Hugin architectures for computing marginals, Artificial Intelligence 102 (2) (1998) 323-333.
-
(1998)
Artificial Intelligence
, vol.102
, Issue.2
, pp. 323-333
-
-
Schmidt, T.1
Shenoy, P.P.2
-
25
-
-
0022818911
-
Evaluating influence diagrams
-
R. Shachter, Evaluating influence diagrams, Oper. Res. 34 (6) (1986) 871-882.
-
(1986)
Oper. Res.
, vol.34
, Issue.6
, pp. 871-882
-
-
Shachter, R.1
-
26
-
-
84986938578
-
An ordered examination of influence diagrams
-
R.D. Shachter, An ordered examination of influence diagrams, Networks 20 (5) (1990) 535-563.
-
(1990)
Networks
, vol.20
, Issue.5
, pp. 535-563
-
-
Shachter, R.D.1
-
28
-
-
0001736479
-
Binary join trees for computing marginals in the Shenoy-Shafer architecture
-
P.P. Shenoy, Binary join trees for computing marginals in the Shenoy-Shafer architecture, Internat. J. Approx. Reason. 17 (2-3) (1997) 239-263.
-
(1997)
Internat. J. Approx. Reason.
, vol.17
, Issue.2-3
, pp. 239-263
-
-
Shenoy, P.P.1
-
29
-
-
0001876338
-
Multiplicative factorization of noisy-max
-
Stockholm, Sweden
-
M. Takikawa, B. D'Ambrosio, Multiplicative factorization of noisy-max, in: Proc. 15th Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, 1999, pp. 622-630.
-
(1999)
Proc. 15th Conference on Uncertainty in Artificial Intelligence
, pp. 622-630
-
-
Takikawa, M.1
D'Ambrosio, B.2
-
31
-
-
0008447752
-
Intercausal independence and heterogeneous factorization
-
Seattle, WA
-
N.L. Zhang, D. Poole, Intercausal independence and heterogeneous factorization, in: Proc. 10th Conference on Uncertainty in Artificial Intelligence, Seattle, WA, 1994, pp. 606-614.
-
(1994)
Proc. 10th Conference on Uncertainty in Artificial Intelligence
, pp. 606-614
-
-
Zhang, N.L.1
Poole, D.2
-
32
-
-
0000049635
-
Exploiting causal independence in Bayesian network inference
-
N.L. Zhang, D. Poole, Exploiting causal independence in Bayesian network inference, J. Artificial Intelligence Res. 5 (1996) 301-328.
-
(1996)
J. Artificial Intelligence Res.
, vol.5
, pp. 301-328
-
-
Zhang, N.L.1
Poole, D.2
-
33
-
-
33746033207
-
Independence of causal influence and clique tree propagation
-
Providence, RI
-
N.L. Zhang, L. Yan, Independence of causal influence and clique tree propagation, in: Proc. 13th Conference on Uncertainty in Artificial Intelligence, Providence, RI, 1997, pp. 472-280.
-
(1997)
Proc. 13th Conference on Uncertainty in Artificial Intelligence
, pp. 472-1280
-
-
Zhang, N.L.1
Yan, L.2
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