-
3
-
-
0037097221
-
Implicative analysis for multivariate binary data using an imprecise Dirichlet model
-
J.-M. Bernard. Implicative analysis for multivariate binary data using an imprecise Dirichlet model. J. of Statistical Planning and Inference, 105:83-103, 2002.
-
(2002)
J. of Statistical Planning and Inference
, vol.105
, pp. 83-103
-
-
Bernard, J.-M.1
-
5
-
-
84893382827
-
The practicability of situational signs for QPNs
-
J. H. Bolt, L. C. van der Gaag, and S. Renooij. The practicability of situational signs for QPNs. IPMU, pp. 1691-1698, 2004.
-
(2004)
IPMU
, pp. 1691-1698
-
-
Bolt, J.H.1
Van Der Gaag, L.C.2
Renooij, S.3
-
6
-
-
8344232333
-
Introducing situational infiuences in QPNs
-
J. H. Bolt, L. C. van der Gaag, and S. Renooij. Introducing situational infiuences in QPNs. ECSQARU, pp. 113-124, 2003.
-
(2003)
ECSQARU
, pp. 113-124
-
-
Bolt, J.H.1
Van Der Gaag, L.C.2
Renooij, S.3
-
7
-
-
0000803024
-
A genetic algorithm to approximate convex sets of probabilities
-
Granada
-
A. Cano and S. Moral. A genetic algorithm to approximate convex sets of probabilities. IPMU, volume 2, pp. 859-864, Granada, 1996.
-
(1996)
IPMU
, vol.2
, pp. 859-864
-
-
Cano, A.1
Moral, S.2
-
8
-
-
0036127748
-
Using probability trees to compute marginals with imprecise probabilities
-
DOI 10.1016/S0888-613X(01)00046-9, PII S0888613X01000469
-
A. Cano and S. Moral. Using probability trees to compute marginals with imprecise probabilities. Int. J. of Approximate Reasoning, 29:1-46, 2002. (Pubitemid 33060596)
-
(2002)
International Journal of Approximate Reasoning
, vol.29
, Issue.1
, pp. 1-46
-
-
Cano, A.1
Moral, S.2
-
9
-
-
0003687180
-
-
Springer- Verlag, New York
-
R. G. Cowell, A. P. Dawid, S. L. Lauritzen, and D. J. Spiegelhalter. Probabilistic Networks and Expert Systems. Springer-Verlag, New York, 1999.
-
(1999)
Probabilistic Networks and Expert Systems
-
-
Cowell, R.G.1
Dawid, A.P.2
Lauritzen, S.L.3
Spiegelhalter, D.J.4
-
11
-
-
16344393835
-
Propositional and relational Bayesian networks associated with imprecise and qualitative probabilistic assessments
-
AUAI Press
-
F. G. Cozman, C. P. de Campos, J. S. Ide, and J. C. F. da Rocha. Propositional and relational Bayesian networks associated with imprecise and qualitative probabilistic assessments. UAI, pp. 104-111, 2004. AUAI Press.
-
(2004)
UAI
, pp. 104-111
-
-
Cozman, F.G.1
De Campos, C.P.2
Ide, J.S.3
Rocha Da, J.F.C.4
-
13
-
-
16344387467
-
Inference in polytrees with sets of probabilities
-
San Francisco. Morgan Kaufmann
-
J. C. F. da Rocha, F. G. Cozman, and C. P. de Campos. Inference in polytrees with sets of probabilities. UAI, pp. 217-224, San Francisco, 2003. Morgan Kaufmann.
-
(2003)
UAI
, pp. 217-224
-
-
Rocha Da, J.F.C.1
Cozman, F.G.2
De Campos, C.P.3
-
14
-
-
0002443781
-
On the relation between kappa calculus and probabilistic reasoning
-
San Francisco. Morgan Kaufmann
-
A. Darwiche and M. Goldszmidt. On the relation between kappa calculus and probabilistic reasoning. UAI, pp. 145-153, San Francisco, 1994. Morgan Kaufmann.
-
(1994)
UAI
, pp. 145-153
-
-
Darwiche, A.1
Goldszmidt, M.2
-
16
-
-
80053272118
-
-
AUAI Press
-
UAI, pp. 120-129. AUAI Press, 2004.
-
(2004)
UAI
, pp. 120-129
-
-
-
19
-
-
0027705257
-
Efficient reasoning in qualitative probabilistic networks
-
M. J. Druzdzel and M. Henrion. Efficient reasoning in qualitative probabilistic networks. AAAI, pp. 548-553, 1993.
-
(1993)
AAAI
, pp. 548-553
-
-
Druzdzel, M.J.1
Henrion, M.2
-
20
-
-
0002624201
-
Elicitation of probabilities for belief networks: Combining qualitative and quantitative information
-
M. J. Druzdzel and L. C. van der Gaag. Elicitation of probabilities for belief networks: Combining qualitative and quantitative information. UAI, pp. 141-148, 1995.
-
(1995)
UAI
, pp. 141-148
-
-
Druzdzel, M.J.1
Van Der Gaag, L.C.2
-
21
-
-
0032202722
-
2U: An exact interval propagation algorithm for polytrees with binary variables
-
PII S0004370298000897
-
E. Fagiuoli and M. Zaffalon. 2U: An exact interval propagation algorithm for polytrees with binary variables. Artificial Intelligence, 106(1):77.107, 1998. (Pubitemid 128402351)
-
(1998)
Artificial Intelligence
, vol.106
, Issue.1
, pp. 77-107
-
-
Fagiuoli, E.1
Zaffalon, M.2
-
28
-
-
26944434018
-
Complexity results and approximation strategies for MAP explanations
-
J. D. Park and A. Darwiche. Complexity results and approximation strategies for MAP explanations. J. of Artificial Intelligence Research, 21:101-133, 2004. (Pubitemid 41525899)
-
(2004)
Journal of Artificial Intelligence Research
, vol.21
, pp. 101-133
-
-
Park, J.D.1
Darwiche, A.2
-
29
-
-
0027626442
-
Semiqualitative approach to reasoning in probabilistic networks
-
S. Parsons and M. Dohnal. A semiqualitative approach to reasoning in probabilistic networks. Applied Artificial Intelligence, 7:223-235, 1993. (Pubitemid 23695437)
-
(1993)
Applied Artificial Intelligence
, vol.7
, Issue.3
, pp. 223-235
-
-
Parsons Simon1
Dohnal Mirko2
-
31
-
-
8344258022
-
Using Kappas as Indicators of Strength in Qualitative Probabilistic Networks
-
Symbolic and Quantitative Approaches to Reasoning with Uncertainty
-
S. Renooij, S. Parsons, and P. Pardieck. Using kappas as indicators of strength in qualitative probabilistic networks. ECSQARU, pp. 87-99. Springer Verlag, 2003. (Pubitemid 36904896)
-
(2003)
Lecture Notes in Computer Science
, Issue.2711
, pp. 87-99
-
-
Renooij, S.1
Parsons, S.2
Pardieck, P.3
-
32
-
-
0010122422
-
Enhancing QPNs for trade-off resolution
-
S. Renooij and L. C. van der Gaag. Enhancing QPNs for trade-off resolution. UAI, pp. 559-566, 1999.
-
(1999)
UAI
, pp. 559-566
-
-
Renooij, S.1
Van Der Gaag, L.C.2
-
33
-
-
1542769812
-
Exploiting nonmonotonic infiuences in qualitative belief networks
-
Madrid, Spain
-
S. Renooij and L. C. van der Gaag. Exploiting nonmonotonic infiuences in qualitative belief networks. IPMU, pp. 1285-1290, Madrid, Spain, 2000.
-
(2000)
IPMU
, pp. 1285-1290
-
-
Renooij, S.1
Van Der Gaag, L.C.2
-
34
-
-
1842691998
-
From qualitative to quantitative probabilistic networks
-
San Francisco, CA. Morgan Kaufmann
-
S. Renooij and L. C. van der Gaag. From qualitative to quantitative probabilistic networks. UAI, pp. 422-429, San Francisco, CA, 2002. Morgan Kaufmann.
-
(2002)
UAI
, pp. 422-429
-
-
Renooij, S.1
Van Der Gaag, L.C.2
-
36
-
-
0036724040
-
Context-specific sign-propagation in qualitative probabilistic networks
-
DOI 10.1016/S0004-3702(02)00247-3, PII S0004370202002473
-
S. Renooij, L. C. van der Gaag, and S. Parsons. Context-specific sign-propagation in qualitative probabilistic networks. Artificial Intelligence, 140(1-2):207-230, 2002. (Pubitemid 34965460)
-
(2002)
Artificial Intelligence
, vol.140
, Issue.1-2
, pp. 207-230
-
-
Renooij, S.1
Van Der Gaag, L.C.2
Parsons, S.3
-
37
-
-
0001642333
-
A global optimization algorithm for polynomial programming problems using a reformulation-linearization technique
-
H. D. Sherali and C. H. Tuncbilek. A global optimization algorithm for polynomial programming problems using a reformulation-linearization technique. J. of Global Optimization, 2:101-112, 1992.
-
(1992)
J. of Global Optimization
, vol.2
, pp. 101-112
-
-
Sherali, H.D.1
Tuncbilek, C.H.2
-
38
-
-
0042721538
-
Computing probability intervals under independency constraints
-
Elsevier Science
-
L. C. van der Gaag. Computing probability intervals under independency constraints. Uncertainty in Artificial Intelligence 6, pp. 457-466. Elsevier Science, 1991.
-
(1991)
Uncertainty in Artificial Intelligence
, vol.6
, pp. 457-466
-
-
Van Der Gaag, L.C.1
-
41
-
-
84883246548
-
Inferences from multinomial data: Learning about a bag of marbles
-
P. Walley. Inferences from multinomial data: Learning about a bag of marbles. J. Royal Statistical Society B, 58(1):3-57, 1996.
-
(1996)
J. Royal Statistical Society B
, vol.58
, Issue.1
, pp. 3-57
-
-
Walley, P.1
-
42
-
-
0025471633
-
Fundamental concepts of qualitative probabilistic networks
-
M. P. Wellman. Fundamental concepts of qualitative probabilistic networks. Artificial Intelligence, 44(3):257-303, 1990.
-
(1990)
Artificial Intelligence
, vol.44
, Issue.3
, pp. 257-303
-
-
Wellman, M.P.1
-
43
-
-
38049075481
-
Exploiting qualitative knowledge in the learning of conditional probabilities of Bayesian networks
-
F. Wittig and A. Jameson. Exploiting qualitative knowledge in the learning of conditional probabilities of Bayesian networks. UAI, pp. 644-652, 2000.
-
(2000)
UAI
, pp. 644-652
-
-
Wittig, F.1
Jameson, A.2
|