메뉴 건너뛰기




Volumn 39, Issue 2-3, 2005, Pages 167-184

Graphical models for imprecise probabilities

Author keywords

Credal networks; Graphical models; Imprecise probabilities; Sets of probability distributions

Indexed keywords

DECISION THEORY; FUNCTIONS; MARKOV PROCESSES; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING; SET THEORY;

EID: 16344370580     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2004.10.003     Document Type: Conference Paper
Times cited : (99)

References (113)
  • 3
    • 0003537865 scopus 로고    scopus 로고
    • Probabilistic argumentation systems: Introduction to assumption-based modeling with ABEL
    • University of Fribourg
    • B. Anrig, R. Bissig, R. Haenni, J. Kohlas, N. Lehmann, Probabilistic argumentation systems: introduction to assumption-based modeling with ABEL. Technical Report 99-1, University of Fribourg, 1999
    • (1999) Technical Report , vol.99 , Issue.1
    • Anrig, B.1    Bissig, R.2    Haenni, R.3    Kohlas, J.4    Lehmann, N.5
  • 4
    • 16344373168 scopus 로고    scopus 로고
    • Assessing debris flow hazard by credal nets
    • M. Lopez-Dias, M.A. Gil, P. Gregurzewiski, O. Hryniewicz, J. Lawry (Eds.)
    • A. Antonucci, A. Salvetti, M. Zaffalon, Assessing debris flow hazard by credal nets, in: M. Lopez-Dias, M.A. Gil, P. Gregurzewiski, O. Hryniewicz, J. Lawry (Eds.), Soft Methodology and Random Information Systems, 2004, pp. 125-132
    • (2004) Soft Methodology and Random Information Systems , pp. 125-132
    • Antonucci, A.1    Salvetti, A.2    Zaffalon, M.3
  • 6
    • 0037097221 scopus 로고    scopus 로고
    • Implicative analysis for multivariate data using an imprecise Dirichlet model
    • J.-M. Bernard Implicative analysis for multivariate data using an imprecise Dirichlet model J. Statist. Plan. Infer. 105 2002 83 103
    • (2002) J. Statist. Plan. Infer. , vol.105 , pp. 83-103
    • Bernard, J.-M.1
  • 9
    • 16244402846 scopus 로고    scopus 로고
    • Qualitative MDPs and POMDPs: An order-of-magnitude approximation
    • San Francisco, California, Morgan Kaufmann
    • B. Bonet, J. Pearl, Qualitative MDPs and POMDPs: an order-of-magnitude approximation, Conference on Uncertainty in Artificial Intelligence, San Francisco, California, Morgan Kaufmann, 2002, pp. 61-68
    • (2002) Conference on Uncertainty in Artificial Intelligence , pp. 61-68
    • Bonet, B.1    Pearl, J.2
  • 11
    • 0346942368 scopus 로고    scopus 로고
    • Decision-theoretic planning: Structural assumptions and computational leverage
    • C. Boutilier, S. Hanks, and T. Dean Decision-theoretic planning: Structural assumptions and computational leverage J. Artif. Intell. Res. 11 1999 1 94
    • (1999) J. Artif. Intell. Res. , vol.11 , pp. 1-94
    • Boutilier, C.1    Hanks, S.2    Dean, T.3
  • 12
    • 0008621136 scopus 로고
    • Decision making with interval influence diagrams
    • Elsevier Science North-Holland
    • J.S. Breese, and K.W. Fertig Decision making with interval influence diagrams Uncertainty in Artificial Intelligence 6 1991 Elsevier Science North-Holland 467 478
    • (1991) Uncertainty in Artificial Intelligence 6 , pp. 467-478
    • Breese, J.S.1    Fertig, K.W.2
  • 13
    • 0000261682 scopus 로고
    • Applicazione del metodo del simplesso al teorema fondamentale per le probabilità nella concezione soggettivistica
    • G. Bruno, and A. Gilio Applicazione del metodo del simplesso al teorema fondamentale per le probabilità nella concezione soggettivistica Statistica 40 1980 337 344
    • (1980) Statistica , vol.40 , pp. 337-344
    • Bruno, G.1    Gilio, A.2
  • 14
    • 84927770626 scopus 로고
    • Learning non probabilistic belief networks
    • Symbolic and Quantitative Approaches to Reasoning with Uncertainty Springer-Verlag
    • L.M. Campos, J.F. Huete, Learning non probabilistic belief networks, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Lecture Notes in Computer Science, vol. 747, Springer-Verlag, 1993, pp. 57-64
    • (1993) Lecture Notes in Computer Science , vol.747 , pp. 57-64
    • Campos, L.M.1    Huete, J.F.2
  • 17
    • 0141586413 scopus 로고    scopus 로고
    • A review of propagation algorithms for imprecise probabilities
    • Ghent, Belgium, Imprecise Probabilities Project, Universiteit Ghent
    • A. Cano, S. Moral, A review of propagation algorithms for imprecise probabilities. First International Symposium on Imprecise Probabilities and Their Applications, Ghent, Belgium, Imprecise Probabilities Project, Universiteit Ghent, 1999, pp. 51-60
    • (1999) First International Symposium on Imprecise Probabilities and Their Applications , pp. 51-60
    • Cano, A.1    Moral, S.2
  • 19
    • 0036127748 scopus 로고    scopus 로고
    • Using probability trees to compute marginals with imprecise probabilities
    • A. Cano, and S. Moral Using probability trees to compute marginals with imprecise probabilities Int. J. Approx. Reason. 29 2002 1 46
    • (2002) Int. J. Approx. Reason. , vol.29 , pp. 1-46
    • Cano, A.1    Moral, S.2
  • 21
    • 33748063566 scopus 로고
    • An axiomatic framework for propagating uncertainty in directed acyclic networks
    • J. Cano, M. Delgado, and S. Moral An axiomatic framework for propagating uncertainty in directed acyclic networks Int. J. Approx. Reason. 8 1993 253 280
    • (1993) Int. J. Approx. Reason. , vol.8 , pp. 253-280
    • Cano, J.1    Delgado, M.2    Moral, S.3
  • 22
    • 0002061428 scopus 로고
    • Incremental conditioning of lower and upper probabilities
    • L. Chrisman Incremental conditioning of lower and upper probabilities Int. J. Approx. Reason. 13 1 1995 1 25
    • (1995) Int. J. Approx. Reason. , vol.13 , Issue.1 , pp. 1-25
    • Chrisman, L.1
  • 23
    • 0042126914 scopus 로고    scopus 로고
    • Propagation of 2-monotone lower probabilities on an undirected graph
    • San Francisco, California, United States, Morgan Kaufmann
    • L. Chrisman. Propagation of 2-monotone lower probabilities on an undirected graph, in: Conference on Uncertainty in Artificial Intelligence, San Francisco, California, United States, Morgan Kaufmann, 1996, pp. 178-186
    • (1996) Conference on Uncertainty in Artificial Intelligence , pp. 178-186
    • Chrisman, L.1
  • 25
    • 0036115829 scopus 로고    scopus 로고
    • Stochastic independence in a coherent setting
    • G. Coletti, and R. Scozzafava Stochastic independence in a coherent setting Ann. Math. Artif. Intell. 35 2002 151 176
    • (2002) Ann. Math. Artif. Intell. , vol.35 , pp. 151-176
    • Coletti, G.1    Scozzafava, R.2
  • 26
    • 0141586405 scopus 로고    scopus 로고
    • A survey of concepts of independence for imprecise probabilities
    • I. Couso, S. Moral, and P. Walley A survey of concepts of independence for imprecise probabilities Risk, Decis. Policy 5 2000 165 181
    • (2000) Risk, Decis. Policy , vol.5 , pp. 165-181
    • Couso, I.1    Moral, S.2    Walley, P.3
  • 29
    • 16344377839 scopus 로고    scopus 로고
    • Learning convex sets of probability from data
    • Robotics Institute, Carnegie Mellon University, Pittsburgh, June
    • F.G. Cozman, L. Chrisman, Learning convex sets of probability from data, Technical Report CMU-RI-TR 97-25, Robotics Institute, Carnegie Mellon University, Pittsburgh, June 1997
    • (1997) Technical Report , vol.CMU-RI-TR 97-25
    • Cozman, F.G.1    Chrisman, L.2
  • 30
    • 0006506913 scopus 로고    scopus 로고
    • Robustness analysis of Bayesian networks with local convex sets of distributions
    • San Francisco, Morgan Kaufmann
    • F.G. Cozman, Robustness analysis of Bayesian networks with local convex sets of distributions, in: Conference on Uncertainty in Artificial Intelligence, San Francisco, Morgan Kaufmann, 1997, pp. 108-115
    • (1997) Conference on Uncertainty in Artificial Intelligence , pp. 108-115
    • Cozman, F.G.1
  • 31
    • 0010358630 scopus 로고    scopus 로고
    • Credal networks
    • F.G. Cozman Credal networks Artif. Intell. 120 2000 199 233
    • (2000) Artif. Intell. , vol.120 , pp. 199-233
    • Cozman, F.G.1
  • 32
    • 0043115719 scopus 로고    scopus 로고
    • Separation properties of sets of probabilities
    • San Francisco, Morgan Kaufmann
    • F.G. Cozman, Separation properties of sets of probabilities, in: Conference on Uncertainty in Artificial Intelligence, San Francisco, Morgan Kaufmann, 2000, pp. 107-115
    • (2000) Conference on Uncertainty in Artificial Intelligence , pp. 107-115
    • Cozman, F.G.1
  • 33
    • 16344379317 scopus 로고    scopus 로고
    • Computing lower expectations with Kuznetsov's independence condition
    • Lugano, Switzerland, Carleton Scientific
    • F.G. Cozman, Computing lower expectations with Kuznetsov's independence condition, in: Third International Symposium on Imprecise Probabilities and Their Applications, Lugano, Switzerland, Carleton Scientific, 2003, pp. 177-187
    • (2003) Third International Symposium on Imprecise Probabilities and Their Applications , pp. 177-187
    • Cozman, F.G.1
  • 34
    • 16344393835 scopus 로고    scopus 로고
    • Propositional and relational Bayesian networks associated with imprecise and qualitative probabilistic assessments
    • M. Chickering J. Halpern 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 M. Chickering J. Halpern Conference on Uncertainty in Artificial Intelligence 2004 AUAI press 104 111
    • (2004) Conference on Uncertainty in Artificial Intelligence , pp. 104-111
    • Cozman, F.G.1    De Campos, C.P.2    Ide, J.S.3    Da Rocha, J.C.F.4
  • 36
    • 4644349370 scopus 로고    scopus 로고
    • Inference with separately specified sets of probabilities in credal networks
    • San Francisco, California, Morgan Kaufmann
    • J.C.F. da Rocha, F.G. Cozman, Inference with separately specified sets of probabilities in credal networks, in: Conference on Uncertainty in Artificial Intelligence, San Francisco, California, Morgan Kaufmann, 2002, pp. 430-437
    • (2002) Conference on Uncertainty in Artificial Intelligence , pp. 430-437
    • Da Rocha, J.C.F.1    Cozman, F.G.2
  • 40
    • 0002443781 scopus 로고
    • On the relation between kappa calculus and probabilistic reasoning
    • San Francisco, California, Morgan Kaufmann
    • A. Darwiche, M. Goldszmidt, On the relation between kappa calculus and probabilistic reasoning, in: Conference on Uncertainty in Artificial Intelligence, San Francisco, California, Morgan Kaufmann, 1994, pp. 145-153
    • (1994) Conference on Uncertainty in Artificial Intelligence , pp. 145-153
    • Darwiche, A.1    Goldszmidt, M.2
  • 41
    • 0002532555 scopus 로고
    • Independence concepts for convex sets of probabilities
    • San Francisco, California, United States, Morgan Kaufmann
    • L. de Campos, S. Moral, Independence concepts for convex sets of probabilities, in: Conference on Uncertainty in Artificial Intelligence, San Francisco, California, United States, Morgan Kaufmann, 1995, pp. 108-115
    • (1995) Conference on Uncertainty in Artificial Intelligence , pp. 108-115
    • De Campos, L.1    Moral, S.2
  • 42
    • 4644341667 scopus 로고    scopus 로고
    • Updating beliefs with incomplete observations
    • G. de Cooman, and M. Zaffalon Updating beliefs with incomplete observations Artificial Intelligence 159 1-2 2004 75 125
    • (2004) Artificial Intelligence , vol.159 , Issue.1-2 , pp. 75-125
    • De Cooman, G.1    Zaffalon, M.2
  • 44
    • 0002624201 scopus 로고
    • Elicitation of probabilities for belief networks: Combining qualitative and quantitative information
    • San Francisco, California, Morgan Kaufmann
    • M.J. Druzdzel, L.C. van der Gaag, Elicitation of probabilities for belief networks: combining qualitative and quantitative information, in: Conference on Uncertainty in Artificial Intelligence, San Francisco, California, Morgan Kaufmann, 1995, pp. 141-148
    • (1995) Conference on Uncertainty in Artificial Intelligence , pp. 141-148
    • Druzdzel, M.J.1    Van Der Gaag, L.C.2
  • 45
    • 0032202722 scopus 로고    scopus 로고
    • 2U: An exact interval propagation algorithm for polytrees with binary variables
    • E. Fagiuoli, and M. Zaffalon 2U: An exact interval propagation algorithm for polytrees with binary variables Artif. Intell. 106 1 1998 77 107
    • (1998) Artif. Intell. , vol.106 , Issue.1 , pp. 77-107
    • Fagiuoli, E.1    Zaffalon, M.2
  • 47
    • 0028499410 scopus 로고
    • Anytime deduction for probabilistic logic
    • A.M. Frisch, and P. Haddawy Anytime deduction for probabilistic logic Artif. Intell. 69 1994 93 122
    • (1994) Artif. Intell. , vol.69 , pp. 93-122
    • Frisch, A.M.1    Haddawy, P.2
  • 51
    • 51849177679 scopus 로고
    • Quasi-Bayesian behaviour: A more realistic approach to decision making?
    • University Press Valencia, Spain
    • F.J. Giron, and S. Rios Quasi-Bayesian behaviour: A more realistic approach to decision making? Bayesian Statistics 1980 University Press Valencia, Spain 17 38
    • (1980) Bayesian Statistics , pp. 17-38
    • Giron, F.J.1    Rios, S.2
  • 52
    • 0034272032 scopus 로고    scopus 로고
    • Bounded-parameter Markov decision processes
    • R. Givan, S.M. Leach, and T. Dean Bounded-parameter Markov decision processes Artif. Intell. 122 1-2 2000 71 109
    • (2000) Artif. Intell. , vol.122 , Issue.1-2 , pp. 71-109
    • Givan, R.1    Leach, S.M.2    Dean, T.3
  • 57
    • 0032245099 scopus 로고    scopus 로고
    • Geometric foundations for interval-based probabilities
    • V.A. Ha, A. Doan, V.H. Vu, and P. Haddawy Geometric foundations for interval-based probabilities Ann. Math. Artif. Intell. 24 1-4 1998 1 21
    • (1998) Ann. Math. Artif. Intell. , vol.24 , Issue.1-4 , pp. 1-21
    • Ha, V.A.1    Doan, A.2    Vu, V.H.3    Haddawy, P.4
  • 59
    • 0025465251 scopus 로고
    • A logic for reasoning about probabilities
    • R. Fagin, J.Y. Halpern, and N. Megiddo A logic for reasoning about probabilities Inform. Comput. 87 1990 78 128
    • (1990) Inform. Comput. , vol.87 , pp. 78-128
    • Fagin, R.1    Halpern, J.Y.2    Megiddo, N.3
  • 60
    • 0026852552 scopus 로고
    • Two views of belief: Belief as generalized probability and belief as evidence
    • J.Y. Halpern, and R. Fagin Two views of belief: belief as generalized probability and belief as evidence Artif. Intell. 54 1992 275 317
    • (1992) Artif. Intell. , vol.54 , pp. 275-317
    • Halpern, J.Y.1    Fagin, R.2
  • 61
    • 16344389095 scopus 로고    scopus 로고
    • A generalization of the concept of Markov decision process to imprecise probabilities
    • Ghent, Belgium, Imprecise Probabilities Project
    • D. Harmanec, A generalization of the concept of Markov decision process to imprecise probabilities, in: First International Symposium on Imprecise Probabilities and Their Applications, Ghent, Belgium, Imprecise Probabilities Project, 1999, pp. 175-182
    • (1999) First International Symposium on Imprecise Probabilities and Their Applications , pp. 175-182
    • Harmanec, D.1
  • 63
    • 0003157339 scopus 로고
    • Robust estimation of a location parameter
    • P.J. Huber Robust estimation of a location parameter Ann. Math. Stat. 35 1964 73 101
    • (1964) Ann. Math. Stat. , vol.35 , pp. 73-101
    • Huber, P.J.1
  • 69
    • 0002480085 scopus 로고
    • Graphical models for associations between variables, some of which are qualitative and some quantitative
    • S.L. Lauritzen, and N. Wermuth Graphical models for associations between variables, some of which are qualitative and some quantitative Ann. Stat. 17 1989 31 57
    • (1989) Ann. Stat. , vol.17 , pp. 31-57
    • Lauritzen, S.L.1    Wermuth, N.2
  • 72
    • 0033342013 scopus 로고    scopus 로고
    • Probabilistic deduction with conditional constraints over basic events
    • T. Lukasiewicz Probabilistic deduction with conditional constraints over basic events J. Artif. Intell. Res. 10 1999 199 241
    • (1999) J. Artif. Intell. Res. , vol.10 , pp. 199-241
    • Lukasiewicz, T.1
  • 73
    • 0030284785 scopus 로고    scopus 로고
    • Computation of best bounds of probabilities from uncertain data
    • C. Luo, C. Yu, J. Lobo, G. Wang, and T. Pham Computation of best bounds of probabilities from uncertain data Comput. Intell. 12 4 1996 541 566
    • (1996) Comput. Intell. , vol.12 , Issue.4 , pp. 541-566
    • Luo, C.1    Yu, C.2    Lobo, J.3    Wang, G.4    Pham, T.5
  • 74
    • 0011135711 scopus 로고
    • Calculating uncertainty intervals from conditional convex sets of probabilities
    • S. Moral Calculating uncertainty intervals from conditional convex sets of probabilities Uncertainty in Artificial Intelligence 8 1992 199 206
    • (1992) Uncertainty in Artificial Intelligence 8 , pp. 199-206
    • Moral, S.1
  • 75
    • 0036109597 scopus 로고    scopus 로고
    • Strong conditional independence for credal sets
    • S. Moral, and A. Cano Strong conditional independence for credal sets Ann. Math. Artif. Intell. 35 2002 295 321
    • (2002) Ann. Math. Artif. Intell. , vol.35 , pp. 295-321
    • Moral, S.1    Cano, A.2
  • 76
    • 0022659563 scopus 로고
    • Probabilistic logic
    • N.J. Nilsson Probabilistic logic Artif. Intell. 28 1986 71 87
    • (1986) Artif. Intell. , vol.28 , pp. 71-87
    • Nilsson, N.J.1
  • 77
    • 0030737325 scopus 로고    scopus 로고
    • Answering queries from context-sensitive probabilistic knowledge bases
    • L. Ngo, and P. Haddawy Answering queries from context-sensitive probabilistic knowledge bases Theor. Comput. Sci. 171 1-2 1997 147 177
    • (1997) Theor. Comput. Sci. , vol.171 , Issue.1-2 , pp. 147-177
    • Ngo, L.1    Haddawy, P.2
  • 80
    • 0027702434 scopus 로고
    • Probabilistic Horn abduction and Bayesian networks
    • D. Poole Probabilistic Horn abduction and Bayesian networks Artif. Intell. 64 1993 81 129
    • (1993) Artif. Intell. , vol.64 , pp. 81-129
    • Poole, D.1
  • 82
    • 0020798546 scopus 로고
    • INFERNO, a cautious approach to uncertain inference
    • J.R. Quinlan INFERNO, a cautious approach to uncertain inference Comput. J. 26 3 1983 255 269
    • (1983) Comput. J. , vol.26 , Issue.3 , pp. 255-269
    • Quinlan, J.R.1
  • 83
    • 0035124121 scopus 로고    scopus 로고
    • Robust Bayes classifiers
    • M. Ramoni, and P. Sebastiani Robust Bayes classifiers Artif. Intell. 125 1-2 2001 209 226
    • (2001) Artif. Intell. , vol.125 , Issue.1-2 , pp. 209-226
    • Ramoni, M.1    Sebastiani, P.2
  • 85
    • 0000129541 scopus 로고    scopus 로고
    • Talking probabilities: Communicating probabilistic information with words and numbers
    • S. Renooij, and C.L.M. Witteman Talking probabilities: communicating probabilistic information with words and numbers Int. J. Approx. Reason. 22 1999 169 194
    • (1999) Int. J. Approx. Reason. , vol.22 , pp. 169-194
    • Renooij, S.1    Witteman, C.L.M.2
  • 86
    • 0015630091 scopus 로고
    • Markovian decision processes with uncertain transition probabilities
    • J.K. Satia, and R.E. Lave Jr. Markovian decision processes with uncertain transition probabilities Oper. Res. 21 1970 728 740
    • (1970) Oper. Res. , vol.21 , pp. 728-740
    • Satia, J.K.1    Lave Jr., R.E.2
  • 87
    • 21344454414 scopus 로고
    • A representation of partially ordered preferences
    • T. Seidenfeld, M.J. Schervish, and J.B. Kadane A representation of partially ordered preferences Ann. Stat. 23 6 1995 2168 2217
    • (1995) Ann. Stat. , vol.23 , Issue.6 , pp. 2168-2217
    • Seidenfeld, T.1    Schervish, M.J.2    Kadane, J.B.3
  • 88
    • 0023446625 scopus 로고
    • Implementing Dempster's rule for hierarchical evidence
    • G. Shafer, and R. Logan Implementing Dempster's rule for hierarchical evidence Artif. Intell. 33 1987 271 298
    • (1987) Artif. Intell. , vol.33 , pp. 271-298
    • Shafer, G.1    Logan, R.2
  • 89
    • 38249034068 scopus 로고
    • Propagating belief functions in qualitative Markov trees
    • G. Shafer, P.P. Shenoy, and K. Mellouli Propagating belief functions in qualitative Markov trees Int. J. Approx. Reason. 1 1987 349 400
    • (1987) Int. J. Approx. Reason. , vol.1 , pp. 349-400
    • Shafer, G.1    Shenoy, P.P.2    Mellouli, K.3
  • 90
    • 38249006487 scopus 로고
    • A valuation-based language for expert systems
    • P.P. Shenoy A valuation-based language for expert systems Int. J. Approx. Reason. 3 1989 383 411
    • (1989) Int. J. Approx. Reason. , vol.3 , pp. 383-411
    • Shenoy, P.P.1
  • 91
    • 0002985393 scopus 로고
    • Propagating belief functions with local computations
    • P.P. Shenoy, and G. Shafer Propagating belief functions with local computations IEEE Expert 1 3 1986 43 52
    • (1986) IEEE Expert , vol.1 , Issue.3 , pp. 43-52
    • Shenoy, P.P.1    Shafer, G.2
  • 92
    • 85012737234 scopus 로고
    • Axioms for probability and belief-function propagation
    • Elsevier Science Publishers North-Holland
    • P.P. Shenoy, and G. Shafer Axioms for probability and belief-function propagation Uncertainty in Artificial Intelligence 4 1990 Elsevier Science Publishers North-Holland 169 198
    • (1990) Uncertainty in Artificial Intelligence 4 , pp. 169-198
    • Shenoy, P.P.1    Shafer, G.2
  • 93
    • 0004091258 scopus 로고
    • Rule-based expert systems: The MYCIN experiments of the Stanford Heuristic Programming Project
    • Addison-Wesley Reading, Mass
    • E.H. Shortliffe, and B.G. Buchanan Rule-based expert systems: the MYCIN experiments of the Stanford Heuristic Programming Project The Addison-Wesley Series in Artificial Intelligence 1985 Addison-Wesley Reading, Mass
    • (1985) The Addison-Wesley Series in Artificial Intelligence
    • Shortliffe, E.H.1    Buchanan, B.G.2
  • 95
    • 0000731447 scopus 로고
    • Ordinal conditional functions: A dynamic theory of epistemic states
    • W.L. Harper, B. Skyrms (Eds.) Kluwer Academic Publishers
    • W. Spohn, Ordinal conditional functions: a dynamic theory of epistemic states, in: W.L. Harper, B. Skyrms (Eds.), Causation in decision: belief, change, and statistics, vol. II, Kluwer Academic Publishers, 1988, pp. 105-134
    • (1988) Causation in Decision: Belief, Change, and Statistics , vol.2 , pp. 105-134
    • Spohn, W.1
  • 96
    • 38249008516 scopus 로고
    • Interval probability propagation
    • B. Tessem Interval probability propagation Int. J. Approx. Reason. 7 1992 95 120
    • (1992) Int. J. Approx. Reason. , vol.7 , pp. 95-120
    • Tessem, B.1
  • 97
    • 0031192588 scopus 로고    scopus 로고
    • Increased robustness of Bayesian networks through probability intervals
    • H. Thone, U. Guntzer, and W. Kießling Increased robustness of Bayesian networks through probability intervals Int. J. Approx. Reason. 17 1997 37 76
    • (1997) Int. J. Approx. Reason. , vol.17 , pp. 37-76
    • Thone, H.1    Guntzer, U.2    Kießling, W.3
  • 98
    • 0042721538 scopus 로고
    • Computing probability intervals under independency constraints
    • Elsevier Science
    • L.C. van der Gaag Computing probability intervals under independency constraints Uncertainty in Artificial Intelligence 6 1991 Elsevier Science 457 466
    • (1991) Uncertainty in Artificial Intelligence 6 , pp. 457-466
    • Van Der Gaag, L.C.1
  • 102
    • 0030146168 scopus 로고    scopus 로고
    • Measures of uncertainty in expert systems
    • P. Walley Measures of uncertainty in expert systems Artif. Intell. 83 1996 1 58
    • (1996) Artif. Intell. , vol.83 , pp. 1-58
    • Walley, P.1
  • 103
    • 0001907991 scopus 로고    scopus 로고
    • Inferences from multinomial data: Learning about a bag of marbles
    • P. Walley Inferences from multinomial data: learning about a bag of marbles J. Royal Stat. Soc. B 58 1 1996 3 57
    • (1996) J. Royal Stat. Soc. B , vol.58 , Issue.1 , pp. 3-57
    • Walley, P.1
  • 104
    • 0034190734 scopus 로고    scopus 로고
    • The theory of interval-probability as a unifying concept for uncertainty
    • K. Weichselberger The theory of interval-probability as a unifying concept for uncertainty Int. J. Approx. Reason. 24 2-3 2000 149 170
    • (2000) Int. J. Approx. Reason. , vol.24 , Issue.2-3 , pp. 149-170
    • Weichselberger, K.1
  • 105
    • 85012725762 scopus 로고
    • Qualitative probabilistic networks for planning under uncertainty
    • M.P. Wellman Qualitative probabilistic networks for planning under uncertainty Uncertainty in Artificial Intelligence 2 1988 197 208
    • (1988) Uncertainty in Artificial Intelligence 2 , pp. 197-208
    • Wellman, M.P.1
  • 106
    • 0022581409 scopus 로고
    • Parameter imprecision in finite state, finite action dynamic programs
    • C.C. White III, and H.K. El-Deib Parameter imprecision in finite state, finite action dynamic programs Oper. Res. 34 1 1986 120 129
    • (1986) Oper. Res. , vol.34 , Issue.1 , pp. 120-129
    • Iii, C.W.C.1    El-Deib, H.K.2
  • 107
    • 0028460403 scopus 로고
    • Markov decision processes with imprecise transition probabilities
    • C.C. White III, and H.K. El-Deib Markov decision processes with imprecise transition probabilities Oper. Res. 42 4 1994 739 749
    • (1994) Oper. Res. , vol.42 , Issue.4 , pp. 739-749
    • Iii, C.W.C.1    El-Deib, H.K.2
  • 110
    • 0037097219 scopus 로고    scopus 로고
    • Exact credal treatment of missing data
    • M. Zaffalon Exact credal treatment of missing data J. Probab. Plan. Infer. 105 1 2002 105 122
    • (2002) J. Probab. Plan. Infer. , vol.105 , Issue.1 , pp. 105-122
    • Zaffalon, M.1
  • 111
    • 0037097254 scopus 로고    scopus 로고
    • The naive credal classifier
    • M. Zaffalon The naive credal classifier J. Probab. Plan. Infer. 105 1 2002 5 21
    • (2002) J. Probab. Plan. Infer. , vol.105 , Issue.1 , pp. 5-21
    • Zaffalon, M.1
  • 112
    • 0142157195 scopus 로고    scopus 로고
    • Tree-based credal networks for classification
    • M. Zaffalon, and E. Fagiuoli Tree-based credal networks for classification Reliab. Comput. 9 6 2003 487 509
    • (2003) Reliab. Comput. , vol.9 , Issue.6 , pp. 487-509
    • Zaffalon, M.1    Fagiuoli, E.2
  • 113
    • 0042836881 scopus 로고    scopus 로고
    • Reliable diagnosis of dementia by the naive credal classifier inferred from incomplete cognitive data
    • M. Zaffalon, K. Wesnes, and O. Petrini Reliable diagnosis of dementia by the naive credal classifier inferred from incomplete cognitive data Artif. Intell. Med. 29 1-2 2003 61 79
    • (2003) Artif. Intell. Med. , vol.29 , Issue.1-2 , pp. 61-79
    • Zaffalon, M.1    Wesnes, K.2    Petrini, O.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.