-
2
-
-
0342313804
-
Structural, elicitation and computational issues faced when solving complex decision problems with influence diagrams
-
Bielza C., Gómez M., Ríos-Insua S., Fernández del Pozo J. Structural, elicitation and computational issues faced when solving complex decision problems with influence diagrams. Computers and Operations Research 2000, 27(7-8):725-740.
-
(2000)
Computers and Operations Research
, vol.27
, Issue.7-8
, pp. 725-740
-
-
Bielza, C.1
Gómez, M.2
Ríos-Insua, S.3
Fernández del Pozo, J.4
-
3
-
-
0345534823
-
Decision analysis by augmented probability simulation
-
Bielza C., Müller P., Ríos D. Decision analysis by augmented probability simulation. Management Science 1999, 45(7):995-1007.
-
(1999)
Management Science
, vol.45
, Issue.7
, pp. 995-1007
-
-
Bielza, C.1
Müller, P.2
Ríos, D.3
-
4
-
-
0033361457
-
A comparison of graphical techniques for asymmetric decision problems
-
Bielza C., Shenoy P.P. A comparison of graphical techniques for asymmetric decision problems. Management Science 1999, 45(11):1552-1569.
-
(1999)
Management Science
, vol.45
, Issue.11
, pp. 1552-1569
-
-
Bielza, C.1
Shenoy, P.P.2
-
6
-
-
77955852135
-
The influence of influence diagrams on artificial intelligence
-
Boutilier C. The influence of influence diagrams on artificial intelligence. Decision Analysis 2005, 2(4):229-231.
-
(2005)
Decision Analysis
, vol.2
, Issue.4
, pp. 229-231
-
-
Boutilier, C.1
-
7
-
-
77955853937
-
Influence diagrams: a practitioner's perspective
-
Buede D. Influence diagrams: a practitioner's perspective. Decision Analysis 2005, 2(4):235-237.
-
(2005)
Decision Analysis
, vol.2
, Issue.4
, pp. 235-237
-
-
Buede, D.1
-
8
-
-
0025106669
-
A comparison of approaches and implementations for automating decision analysis
-
Call H., Miller W. A comparison of approaches and implementations for automating decision analysis. Reliability Engineering and System Safety 1990, 30:115-162.
-
(1990)
Reliability Engineering and System Safety
, vol.30
, pp. 115-162
-
-
Call, H.1
Miller, W.2
-
9
-
-
33748279632
-
Combining decision tree and MAUT for selecting a country for a global manufacturing facility
-
Canbolat Y.B., Chelst K., Garg N. Combining decision tree and MAUT for selecting a country for a global manufacturing facility. Omega 2007, 35(3):312-325.
-
(2007)
Omega
, vol.35
, Issue.3
, pp. 312-325
-
-
Canbolat, Y.B.1
Chelst, K.2
Garg, N.3
-
10
-
-
1842732640
-
Multi-stage Monte Carlo method for solving influence diagrams using local computation
-
Charnes J.M., Shenoy P.P. Multi-stage Monte Carlo method for solving influence diagrams using local computation. Management Science 2004, 50(3):405-418.
-
(2004)
Management Science
, vol.50
, Issue.3
, pp. 405-418
-
-
Charnes, J.M.1
Shenoy, P.P.2
-
13
-
-
70350564931
-
Influence diagrams with continuous decision variables and non-Gaussian uncertainties
-
Cobb B.R. Influence diagrams with continuous decision variables and non-Gaussian uncertainties. Decision Analysis 2007, 4(3):136-155.
-
(2007)
Decision Analysis
, vol.4
, Issue.3
, pp. 136-155
-
-
Cobb, B.R.1
-
14
-
-
33646438850
-
Hybrid Bayesian networks with linear deterministic variables
-
AUAI Press, Corvallis, OR, F. Bacchus, T. Jaakkola (Eds.)
-
Cobb B.R., Shenoy P.P. Hybrid Bayesian networks with linear deterministic variables. Uncertainty in artificial intelligence: proceedings of the 21st conference 2005, 136-144. AUAI Press, Corvallis, OR. F. Bacchus, T. Jaakkola (Eds.).
-
(2005)
Uncertainty in artificial intelligence: proceedings of the 21st conference
, pp. 136-144
-
-
Cobb, B.R.1
Shenoy, P.P.2
-
15
-
-
26944472022
-
Nonlinear deterministic relationships in Bayesian networks
-
Springer, Berlin
-
Cobb B.R., Shenoy P.P. Nonlinear deterministic relationships in Bayesian networks. Symbolic and quantitative approaches to reasoning with uncertainty: eighth European conference, ECSQARU 2005. Lecture notes in artificial intelligence 2005, vol. 3571:27-38. Springer, Berlin.
-
(2005)
Symbolic and quantitative approaches to reasoning with uncertainty: eighth European conference, ECSQARU 2005. Lecture notes in artificial intelligence
, vol.3571
, pp. 27-38
-
-
Cobb, B.R.1
Shenoy, P.P.2
-
16
-
-
35349010084
-
Decision making with hybrid influence diagrams using mixtures of truncated exponentials
-
Cobb B.R., Shenoy P.P. Decision making with hybrid influence diagrams using mixtures of truncated exponentials. European Journal of Operational Research 2008, 186(1):261-275.
-
(2008)
European Journal of Operational Research
, vol.186
, Issue.1
, pp. 261-275
-
-
Cobb, B.R.1
Shenoy, P.P.2
-
17
-
-
33745634852
-
Approximating probability density functions in hybrid Bayesian networks with mixtures of truncated exponentials
-
Cobb B.R., Shenoy P.P., Rumi R. Approximating probability density functions in hybrid Bayesian networks with mixtures of truncated exponentials. Statistics & Computing 2006, 16(3):293-308.
-
(2006)
Statistics & Computing
, vol.16
, Issue.3
, pp. 293-308
-
-
Cobb, B.R.1
Shenoy, P.P.2
Rumi, R.3
-
19
-
-
0001120291
-
Representation and solution of decision problems using sequential decision diagrams
-
Covaliu Z., Oliver R. Representation and solution of decision problems using sequential decision diagrams. Management Science 1995, 41(12):1860-1881.
-
(1995)
Management Science
, vol.41
, Issue.12
, pp. 1860-1881
-
-
Covaliu, Z.1
Oliver, R.2
-
20
-
-
25144472302
-
Sequential valuation networks for asymmetric decision problems
-
Demirer R., Shenoy P.P. Sequential valuation networks for asymmetric decision problems. European Journal of Operational Research 2006, 169(1):286-309.
-
(2006)
European Journal of Operational Research
, vol.169
, Issue.1
, pp. 286-309
-
-
Demirer, R.1
Shenoy, P.P.2
-
21
-
-
70350057376
-
Influence diagrams for team decision analysis
-
Detwarasiti A., Shachter R.D. Influence diagrams for team decision analysis. Decision Analysis 2005, 2(4):207-228.
-
(2005)
Decision Analysis
, vol.2
, Issue.4
, pp. 207-228
-
-
Detwarasiti, A.1
Shachter, R.D.2
-
25
-
-
85170490177
-
-
Contingent influence diagrams. Technical Report, Department of Engineering-Economic Systems, Stanford University, Stanford, California
-
Fung RM, Shachter RD. Contingent influence diagrams. Technical Report, Department of Engineering-Economic Systems, Stanford University, Stanford, California; 1990.
-
(1990)
-
-
Fung, R.M.1
Shachter, R.D.2
-
27
-
-
34249032769
-
A graphical decision-theoretic model for neonatal jaundice
-
Gómez M., Bielza C., Fernández del Pozo J., Ríos-Insua S. A graphical decision-theoretic model for neonatal jaundice. Medical Decision Making 2007, 27:250-265.
-
(2007)
Medical Decision Making
, vol.27
, pp. 250-265
-
-
Gómez, M.1
Bielza, C.2
Fernández del Pozo, J.3
Ríos-Insua, S.4
-
28
-
-
33750471180
-
The effects of structural characteristics of explanations on use of a DSS
-
Gönül M., Önkal D., Lawrence M. The effects of structural characteristics of explanations on use of a DSS. Decision Support Systems 2006, 42:1481-1493.
-
(2006)
Decision Support Systems
, vol.42
, pp. 1481-1493
-
-
Gönül, M.1
Önkal, D.2
Lawrence, M.3
-
29
-
-
0031182608
-
Influence diagrams: a new dimension for decision models
-
Helfand M., Pauker S. Influence diagrams: a new dimension for decision models. Medical Decision Making 1997, 17(3):351-352.
-
(1997)
Medical Decision Making
, vol.17
, Issue.3
, pp. 351-352
-
-
Helfand, M.1
Pauker, S.2
-
30
-
-
0343660121
-
Flexible policy construction by information refinement
-
Morgan Kaufmann, San Francisco, CA, E. Horvitz, F.V. Jensen (Eds.)
-
Horsch M., Poole D. Flexible policy construction by information refinement. Uncertainty in artificial intelligence: proceedings of the 12th conference 1996, 315-324. Morgan Kaufmann, San Francisco, CA. E. Horvitz, F.V. Jensen (Eds.).
-
(1996)
Uncertainty in artificial intelligence: proceedings of the 12th conference
, pp. 315-324
-
-
Horsch, M.1
Poole, D.2
-
31
-
-
33645957599
-
An anytime algorithm for decision making under uncertainty
-
Morgan Kaufmann, San Francisco, G. Cooper, S. Moral (Eds.)
-
Horsch M., Poole D. An anytime algorithm for decision making under uncertainty. Uncertainty in artificial intelligence: proceedings of the 14th conference 1998, 246-255. Morgan Kaufmann, San Francisco. G. Cooper, S. Moral (Eds.).
-
(1998)
Uncertainty in artificial intelligence: proceedings of the 14th conference
, pp. 246-255
-
-
Horsch, M.1
Poole, D.2
-
32
-
-
9444228071
-
Estimating the value of computation in flexible information refinement
-
Morgan Kaufmann, San Francisco, CA, K. Laskey, H. Prade (Eds.)
-
Horsch M., Poole D. Estimating the value of computation in flexible information refinement. Uncertainty in artificial intelligence: proceedings of the 15th conference 1999, 297-304. Morgan Kaufmann, San Francisco, CA. K. Laskey, H. Prade (Eds.).
-
(1999)
Uncertainty in artificial intelligence: proceedings of the 15th conference
, pp. 297-304
-
-
Horsch, M.1
Poole, D.2
-
33
-
-
0343224473
-
Time-critical action: representations and application
-
Morgan Kaufmann, San Francisco, CA, D. Geiger, P.P. Shenoy (Eds.)
-
Horvitz E., Seiver A. Time-critical action: representations and application. Uncertainty in artificial intelligence: proceedings of the 13th conference 1997, 250-257. Morgan Kaufmann, San Francisco, CA. D. Geiger, P.P. Shenoy (Eds.).
-
(1997)
Uncertainty in artificial intelligence: proceedings of the 13th conference
, pp. 250-257
-
-
Horvitz, E.1
Seiver, A.2
-
34
-
-
84909809278
-
-
In: Howard R, Matheson J, editors. Readings on the principles and applications of decision analysis, vol. II. Strategic Decisions Group
-
Howard R, Matheson J. Influence diagrams. In: Howard R, Matheson J, editors. Readings on the principles and applications of decision analysis, vol. II. Strategic Decisions Group; 1984. p. 719-62.
-
(1984)
Influence diagrams
, pp. 719-762
-
-
Howard, R.1
Matheson, J.2
-
35
-
-
33749596111
-
Influence diagram retrospective
-
Howard R., Matheson J. Influence diagram retrospective. Decision Analysis 2005, 2:144-147.
-
(2005)
Decision Analysis
, vol.2
, pp. 144-147
-
-
Howard, R.1
Matheson, J.2
-
37
-
-
36248984889
-
Comment on influence diagram retrospective
-
Howard R., Matheson J., Merkhofer M., Miller A., North D. Comment on influence diagram retrospective. Decision Analysis 2006, 3:117-119.
-
(2006)
Decision Analysis
, vol.3
, pp. 117-119
-
-
Howard, R.1
Matheson, J.2
Merkhofer, M.3
Miller, A.4
North, D.5
-
38
-
-
0000305280
-
From influence diagrams to junction trees
-
Morgan Kaufmann, San Francisco, CA, R. de Mantaras, D. Poole (Eds.)
-
Jensen F., Jensen F.V., Dittmer D. From influence diagrams to junction trees. Uncertainty in artificial intelligence: proceedings of the 10th conference 1994, 367-373. Morgan Kaufmann, San Francisco, CA. R. de Mantaras, D. Poole (Eds.).
-
(1994)
Uncertainty in artificial intelligence: proceedings of the 10th conference
, pp. 367-373
-
-
Jensen, F.1
Jensen, F.V.2
Dittmer, D.3
-
40
-
-
8444231903
-
Unconstrained influence diagrams
-
Morgan Kaufmann, San Francisco, CA, A. Darwiche, N. Friedman (Eds.)
-
Jensen F.V., Vomlelova M. Unconstrained influence diagrams. Uncertainty in artificial intelligence: proceedings of the 18th conference 2002, 234-241. Morgan Kaufmann, San Francisco, CA. A. Darwiche, N. Friedman (Eds.).
-
(2002)
Uncertainty in artificial intelligence: proceedings of the 18th conference
, pp. 234-241
-
-
Jensen, F.V.1
Vomlelova, M.2
-
41
-
-
0026609834
-
Patient-specific explanation in models of chronic disease
-
Jimison H., Fagan L., Shachter R., Shortliffe E. Patient-specific explanation in models of chronic disease. Artificial Intelligence in Medicine 1992, 4:191-205.
-
(1992)
Artificial Intelligence in Medicine
, vol.4
, pp. 191-205
-
-
Jimison, H.1
Fagan, L.2
Shachter, R.3
Shortliffe, E.4
-
42
-
-
0012647666
-
Influence diagram models with continuous variables
-
Stanford, CA
-
Kenley CR. Influence diagram models with continuous variables. PhD thesis, Stanford University, Stanford, CA; 1986.
-
(1986)
PhD thesis, Stanford University
-
-
Kenley, C.R.1
-
43
-
-
0036776514
-
Hybrid of neural network and decision knowledge approach to generating influence diagrams
-
Kim J., Lee K., Lee J. Hybrid of neural network and decision knowledge approach to generating influence diagrams. Expert Systems with Applications 2002, 23(3):237-244.
-
(2002)
Expert Systems with Applications
, vol.23
, Issue.3
, pp. 237-244
-
-
Kim, J.1
Lee, K.2
Lee, J.3
-
44
-
-
0141503453
-
Multi-agent influence diagrams for representing and solving games
-
Koller D., Milch B. Multi-agent influence diagrams for representing and solving games. Games and Economic Behavior 2003, 45(1):181-221.
-
(2003)
Games and Economic Behavior
, vol.45
, Issue.1
, pp. 181-221
-
-
Koller, D.1
Milch, B.2
-
45
-
-
18744404815
-
A review of explanation methods for heuristic expert systems
-
Lacave C., Díez F. A review of explanation methods for heuristic expert systems. Knowledge Engineering Review 2004, 19:133-146.
-
(2004)
Knowledge Engineering Review
, vol.19
, pp. 133-146
-
-
Lacave, C.1
Díez, F.2
-
46
-
-
0041377763
-
Stable local computation with conditional Gaussian distributions
-
Lauritzen S.L., Jensen F.V. Stable local computation with conditional Gaussian distributions. Statistics and Computing 2001, 11:191-203.
-
(2001)
Statistics and Computing
, vol.11
, pp. 191-203
-
-
Lauritzen, S.L.1
Jensen, F.V.2
-
47
-
-
0035466786
-
Representing and solving decision problems with limited information
-
Lauritzen S.L., Nilsson D. Representing and solving decision problems with limited information. Management Science 2001, 47(9):1235-1251.
-
(2001)
Management Science
, vol.47
, Issue.9
, pp. 1235-1251
-
-
Lauritzen, S.L.1
Nilsson, D.2
-
48
-
-
85170484003
-
A methodology for modeling influence diagrams: a case-based reasoning approach
-
Lee J., Kim J., Kim S. A methodology for modeling influence diagrams: a case-based reasoning approach. International Journal of Intelligent Systems in Accounting, Finance & Management 2000, 9(1):55-63.
-
(2000)
International Journal of Intelligent Systems in Accounting, Finance & Management
, vol.9
, Issue.1
, pp. 55-63
-
-
Lee, J.1
Kim, J.2
Kim, S.3
-
49
-
-
1942418103
-
Exact inference in networks with discrete children of continuous parents
-
Morgan Kaufmann, San Francisco, CA, J. Breese, D. Koller (Eds.)
-
Lerner U., Segal E., Koller D. Exact inference in networks with discrete children of continuous parents. Uncertainty in artificial intelligence: proceedings of the 17th conference 2001, 319-328. Morgan Kaufmann, San Francisco, CA. J. Breese, D. Koller (Eds.).
-
(2001)
Uncertainty in artificial intelligence: proceedings of the 17th conference
, pp. 319-328
-
-
Lerner, U.1
Segal, E.2
Koller, D.3
-
50
-
-
80053138105
-
Solving hybrid influence diagrams with deterministic variables
-
AUAI Press, Corvallis, OR, P. Grünwald, P. Spirtes (Eds.)
-
Li Y., Shenoy P.P. Solving hybrid influence diagrams with deterministic variables. Uncertainty in artificial intelligence: proceedings of the 26th conference (UAI-2010) 2010, 322-331. AUAI Press, Corvallis, OR. P. Grünwald, P. Spirtes (Eds.).
-
(2010)
Uncertainty in artificial intelligence: proceedings of the 26th conference (UAI-2010)
, pp. 322-331
-
-
Li, Y.1
Shenoy, P.P.2
-
51
-
-
1842558693
-
Representing asymmetric decision problems using coarse valuations
-
Liu L., Shenoy P.P. Representing asymmetric decision problems using coarse valuations. Decision Support Systems 2004, 37(1):119-135.
-
(2004)
Decision Support Systems
, vol.37
, Issue.1
, pp. 119-135
-
-
Liu, L.1
Shenoy, P.P.2
-
52
-
-
0006310869
-
Lazy evaluation of symmetric Bayesian decision problems
-
Morgan Kaufmann, San Francisco, CA, K. Laskey, H. Prade (Eds.)
-
Madsen A.L., Jensen F.V. Lazy evaluation of symmetric Bayesian decision problems. Uncertainty in artificial intelligence: proceedings of the 15th conference 1999, 382-390. Morgan Kaufmann, San Francisco, CA. K. Laskey, H. Prade (Eds.).
-
(1999)
Uncertainty in artificial intelligence: proceedings of the 15th conference
, pp. 382-390
-
-
Madsen, A.L.1
Jensen, F.V.2
-
53
-
-
84937428461
-
Mixtures of truncated exponentials in hybrid Bayesian networks
-
Springer, Berlin
-
Moral S., Rumí R., Salmerón A. Mixtures of truncated exponentials in hybrid Bayesian networks. Symbolic and quantitative approaches to reasoning with uncertainty: sixth European conference, ECSQARU-2001. Lecture notes in artificial intelligence 2001, vol. 2143:156-167. Springer, Berlin.
-
(2001)
Symbolic and quantitative approaches to reasoning with uncertainty: sixth European conference, ECSQARU-2001. Lecture notes in artificial intelligence
, vol.2143
, pp. 156-167
-
-
Moral, S.1
Rumí, R.2
Salmerón, A.3
-
54
-
-
0002425879
-
A variational approximation for Bayesian networks with discrete and continuous latent variables
-
Morgan Kaufmann, San Francisco, CA, K. Laskey, H. Prade (Eds.)
-
Murphy K. A variational approximation for Bayesian networks with discrete and continuous latent variables. Uncertainty in artificial intelligence: proceedings of the 15th conference 1999, 457-466. Morgan Kaufmann, San Francisco, CA. K. Laskey, H. Prade (Eds.).
-
(1999)
Uncertainty in artificial intelligence: proceedings of the 15th conference
, pp. 457-466
-
-
Murphy, K.1
-
55
-
-
1842292106
-
Use of influence diagrams to structure medical decisions
-
Nease R., Owens D. Use of influence diagrams to structure medical decisions. Medical Decision Making 1997, 17:263-275.
-
(1997)
Medical Decision Making
, vol.17
, pp. 263-275
-
-
Nease, R.1
Owens, D.2
-
56
-
-
0006276196
-
Well defined decision scenarios
-
Morgan Kaufmann, San Francisco, CA, K.B. Laskey, H. Prade (Eds.)
-
Nielsen T.D., Jensen F.V. Well defined decision scenarios. Uncertainty in artificial intelligence: proceedings of the 15th conference 1999, 502-511. Morgan Kaufmann, San Francisco, CA. K.B. Laskey, H. Prade (Eds.).
-
(1999)
Uncertainty in artificial intelligence: proceedings of the 15th conference
, pp. 502-511
-
-
Nielsen, T.D.1
Jensen, F.V.2
-
58
-
-
85170483648
-
-
Decision analysis of intelligence resource allocation. Technical Report DAH C15-73-C-0430, Stanford Research Institute, Menlo Park, CA
-
North D, Miller A, Braunstein T. Decision analysis of intelligence resource allocation. Technical Report DAH C15-73-C-0430, Stanford Research Institute, Menlo Park, CA; 1974.
-
(1974)
-
-
North, D.1
Miller, A.2
Braunstein, T.3
-
60
-
-
0030952509
-
Representation and analysis of medical decision problems with influence diagrams
-
Owens D., Shachter R., Nease R. Representation and analysis of medical decision problems with influence diagrams. Medical Decision Making 1997, 17:241-262.
-
(1997)
Medical Decision Making
, vol.17
, pp. 241-262
-
-
Owens, D.1
Shachter, R.2
Nease, R.3
-
61
-
-
67349207561
-
The influence of influence diagrams in medicine
-
Pauker S., Wong J. The influence of influence diagrams in medicine. Decision Analysis 2005, 2(4):238-244.
-
(2005)
Decision Analysis
, vol.2
, Issue.4
, pp. 238-244
-
-
Pauker, S.1
Wong, J.2
-
62
-
-
34548038217
-
Influence diagrams-historical and personal perspectives
-
Pearl J. Influence diagrams-historical and personal perspectives. Decision Analysis 2005, 2:232-234.
-
(2005)
Decision Analysis
, vol.2
, pp. 232-234
-
-
Pearl, J.1
-
63
-
-
0008618386
-
Reasoning about the value of decision-model refinement: methods and application
-
Morgan Kaufmann, San Francisco, CA, D. Heckerman, A. Mamdani (Eds.)
-
Poh K., Horvitz E. Reasoning about the value of decision-model refinement: methods and application. Uncertainty in artificial intelligence: proceedings of the 11th conference 1993, 174-182. Morgan Kaufmann, San Francisco, CA. D. Heckerman, A. Mamdani (Eds.).
-
(1993)
Uncertainty in artificial intelligence: proceedings of the 11th conference
, pp. 174-182
-
-
Poh, K.1
Horvitz, E.2
-
64
-
-
0345181027
-
Decision analysis with continuous and discrete variables: a mixture distribution approach
-
Stanford, CA
-
Poland III WB. Decision analysis with continuous and discrete variables: a mixture distribution approach. PhD thesis, Stanford University, Stanford, CA; 1994.
-
(1994)
PhD thesis, Stanford University
-
-
Poland III, W.B.1
-
65
-
-
21244504129
-
Mixtures of Gaussians and minimum relative entropy techniques for modeling continuous uncertainties
-
Morgan Kaufmann, San Francisco, CA, D. Heckerman, A. Mamdani (Eds.)
-
Poland W.B., Shachter R.D. Mixtures of Gaussians and minimum relative entropy techniques for modeling continuous uncertainties. Uncertainty in artificial intelligence: proceedings of the ninth conference 1993, 183-190. Morgan Kaufmann, San Francisco, CA. D. Heckerman, A. Mamdani (Eds.).
-
(1993)
Uncertainty in artificial intelligence: proceedings of the ninth conference
, pp. 183-190
-
-
Poland, W.B.1
Shachter, R.D.2
-
66
-
-
0031187203
-
The independent choice logic for modelling multiple agents under uncertainty
-
Poole D. The independent choice logic for modelling multiple agents under uncertainty. Artificial Intelligence 1997, 94:7-56.
-
(1997)
Artificial Intelligence
, vol.94
, pp. 7-56
-
-
Poole, D.1
-
67
-
-
0027558641
-
Dynamic network construction and updating techniques for the diagnosis of acute abdominal pain
-
Provan G., Clarke J. Dynamic network construction and updating techniques for the diagnosis of acute abdominal pain. IEEE Transactions on Pattern Analysis and Machine Intelligence 1993, 15(3):299-307.
-
(1993)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.15
, Issue.3
, pp. 299-307
-
-
Provan, G.1
Clarke, J.2
-
68
-
-
0342642490
-
Solving asymmetric decision problems with influence diagrams
-
Morgan Kaufmann, San Francisco, CA, R. de Mantaras, D. Poole (Eds.)
-
Qi R., Zhang N., Poole D. Solving asymmetric decision problems with influence diagrams. Uncertainty in artificial intelligence: proceedings of the 10th conference 1994, 491-497. Morgan Kaufmann, San Francisco, CA. R. de Mantaras, D. Poole (Eds.).
-
(1994)
Uncertainty in artificial intelligence: proceedings of the 10th conference
, pp. 491-497
-
-
Qi, R.1
Zhang, N.2
Poole, D.3
-
72
-
-
26844471689
-
Negotiation over influence diagrams
-
Technical Report, Rey Juan Carlos University
-
Ríos J, Ríos-Insua D. Negotiation over influence diagrams. Technical Report, Rey Juan Carlos University; 2006.
-
(2006)
-
-
Ríos, J.1
Ríos-Insua, D.2
-
74
-
-
0022818911
-
Evaluating influence diagrams
-
Shachter R.D. Evaluating influence diagrams. Operations Research 1986, 34:871-882.
-
(1986)
Operations Research
, vol.34
, pp. 871-882
-
-
Shachter, R.D.1
-
75
-
-
0006309836
-
Efficient value of information computation
-
Morgan Kaufmann, San Francisco, CA, K.B. Laskey, H. Prade (Eds.)
-
Shachter R.D. Efficient value of information computation. Uncertainty in artificial intelligence: proceedings of the 15th conference 1999, 594-602. Morgan Kaufmann, San Francisco, CA. K.B. Laskey, H. Prade (Eds.).
-
(1999)
Uncertainty in artificial intelligence: proceedings of the 15th conference
, pp. 594-602
-
-
Shachter, R.D.1
-
77
-
-
0039355728
-
Using potential influence diagrams for probabilistic inference and decision making
-
Morgan Kaufmann, San Francisco, CA, D. Heckerman, A. Mamdani (Eds.)
-
Shachter R.D., Ndilikilikesha P.P. Using potential influence diagrams for probabilistic inference and decision making. Uncertainty in artificial intelligence: proceedings of the 15th conference 1993, 383-390. Morgan Kaufmann, San Francisco, CA. D. Heckerman, A. Mamdani (Eds.).
-
(1993)
Uncertainty in artificial intelligence: proceedings of the 15th conference
, pp. 383-390
-
-
Shachter, R.D.1
Ndilikilikesha, P.P.2
-
78
-
-
0000251407
-
Valuation-based systems for Bayesian decision analysis
-
Shenoy P.P. Valuation-based systems for Bayesian decision analysis. Operations Research 1992, 40(3):463-484.
-
(1992)
Operations Research
, vol.40
, Issue.3
, pp. 463-484
-
-
Shenoy, P.P.1
-
79
-
-
0001736479
-
Binary join trees for computing marginals in the Shenoy-Shafer architecture
-
Shenoy P.P. Binary join trees for computing marginals in the Shenoy-Shafer architecture. International Journal of Approximate Reasoning 1997, 17(2-3):239-263.
-
(1997)
International Journal of Approximate Reasoning
, vol.17
, Issue.2-3
, pp. 239-263
-
-
Shenoy, P.P.1
-
80
-
-
0342733586
-
Valuation network representation and solution of asymmetric decision problems
-
Shenoy P.P. Valuation network representation and solution of asymmetric decision problems. European Journal of Operational Research 2000, 121(3):579-608.
-
(2000)
European Journal of Operational Research
, vol.121
, Issue.3
, pp. 579-608
-
-
Shenoy, P.P.1
-
81
-
-
80053213725
-
Inference in hybrid Bayesian networks using mixtures of Gaussians
-
AUAI Press, Corvallis, OR, R. Dechter, T. Richardson (Eds.)
-
Shenoy P.P. Inference in hybrid Bayesian networks using mixtures of Gaussians. Uncertainty in artificial intelligence: proceedings of the 22nd conference 2006, 428-436. AUAI Press, Corvallis, OR. R. Dechter, T. Richardson (Eds.).
-
(2006)
Uncertainty in artificial intelligence: proceedings of the 22nd conference
, pp. 428-436
-
-
Shenoy, P.P.1
-
82
-
-
85170486760
-
-
Inference in hybrid Bayesian networks using mixtures of polynomials. Working paper 321, University of Kansas School of Business, Lawrence, KS; May
-
Shenoy PP, West JC. Inference in hybrid Bayesian networks using mixtures of polynomials. Working paper 321, University of Kansas School of Business, Lawrence, KS; May 2009.
-
(2009)
-
-
Shenoy, P.P.1
West, J.C.2
-
84
-
-
77957145715
-
Mixtures of polynomials in hybrid Bayesian networks with deterministic variables
-
In: Kroupa T, Vejnarova J, editors. Proceedings of the eighth workshop on uncertainty processing, Prague, Czech Republic: University of Economics
-
Shenoy PP, West JC. Mixtures of polynomials in hybrid Bayesian networks with deterministic variables. In: Kroupa T, Vejnarova J, editors. Proceedings of the eighth workshop on uncertainty processing, Prague, Czech Republic: University of Economics; 2009. p. 202-12.
-
(2009)
, pp. 202-212
-
-
Shenoy, P.P.1
West, J.C.2
-
85
-
-
0027561028
-
Structuring conditional relationships in influence diagrams
-
Smith J., Holtzman S., Matheson J. Structuring conditional relationships in influence diagrams. Operations Research 1993, 41(2):280-297.
-
(1993)
Operations Research
, vol.41
, Issue.2
, pp. 280-297
-
-
Smith, J.1
Holtzman, S.2
Matheson, J.3
-
88
-
-
0042456385
-
Time-critical dynamic decision making
-
Morgan Kaufmann, San Francisco, CA, K. Laskey, H. Prade (Eds.)
-
Xiang Y., Poh K. Time-critical dynamic decision making. Uncertainty in artificial intelligence: proceedings of the 15th conference 1999, 688-695. Morgan Kaufmann, San Francisco, CA. K. Laskey, H. Prade (Eds.).
-
(1999)
Uncertainty in artificial intelligence: proceedings of the 15th conference
, pp. 688-695
-
-
Xiang, Y.1
Poh, K.2
-
89
-
-
0036186759
-
Time-critical dynamic decision modeling in medicine
-
Xiang Y., Poh K. Time-critical dynamic decision modeling in medicine. Computers in Biology and Medicine 2002, 32(2):85-97.
-
(2002)
Computers in Biology and Medicine
, vol.32
, Issue.2
, pp. 85-97
-
-
Xiang, Y.1
Poh, K.2
-
90
-
-
3843132133
-
Probabilistic inference in influence diagrams
-
Morgan Kaufmann, San Francisco, CA, G. Cooper, S. Moral (Eds.)
-
Zhang N.L. Probabilistic inference in influence diagrams. Uncertainty in artificial intelligence: proceedings of the 14th conference 1998, 514-522. Morgan Kaufmann, San Francisco, CA. G. Cooper, S. Moral (Eds.).
-
(1998)
Uncertainty in artificial intelligence: proceedings of the 14th conference
, pp. 514-522
-
-
Zhang, N.L.1
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