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Volumn 120, Issue 2, 2000, Pages 199-233

Credal networks

Author keywords

Bayesian networks; Convex sets of probability measures; Graphical d separation relations; Graphical models of inference; Independence relations; Lower and upper expectations; Robust bayesian analysis

Indexed keywords


EID: 0010358630     PISSN: 00043702     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0004-3702(00)00029-1     Document Type: Article
Times cited : (319)

References (84)
  • 3
    • 0347877499 scopus 로고
    • Solution of generalized geometric programs
    • M. Avriel (Ed.), Plenum Press, New York
    • M. Avriel, R. Dembo, U. Passy, Solution of generalized geometric programs, in: M. Avriel (Ed.), Advances in Geometric Programming, Plenum Press, New York, 1980, pp. 203-226.
    • (1980) Advances in Geometric Programming , pp. 203-226
    • Avriel, M.1    Dembo, R.2    Passy, U.3
  • 5
    • 38149147645 scopus 로고
    • Bayesian robustness in bidimensional model: Prior independence
    • J. Berger, E. Moreno, Bayesian robustness in bidimensional model: Prior independence, J. Statist. Plann. Inference 40 (1994) 161-176.
    • (1994) J. Statist. Plann. Inference , vol.40 , pp. 161-176
    • Berger, J.1    Moreno, E.2
  • 7
    • 38249019651 scopus 로고
    • Robust Bayesian analysis: Sensitivity to the prior
    • J.O. Berger, Robust Bayesian analysis: Sensitivity to the prior, J. Statist. Plann.Inference 25 (1990) 303-328.
    • (1990) J. Statist. Plann.Inference , vol.25 , pp. 303-328
    • Berger, J.O.1
  • 8
    • 0008621136 scopus 로고
    • Decision making with interval influence diagrams
    • P.P. Bonissone, M. Henrion, L.N. Kanal, J.F. Lemmer (Eds.), Elsevier Science, North-Holland, Amsterdam
    • J.S. Breese, K.W. Fertig, Decision making with interval influence diagrams, in: P.P. Bonissone, M. Henrion, L.N. Kanal, J.F. Lemmer (Eds.), Uncertainty in Artificial Intelligence 6, Elsevier Science, North-Holland, Amsterdam, 1991, pp. 467-478.
    • (1991) Uncertainty in Artificial Intelligence , vol.6 , pp. 467-478
    • Breese, J.S.1    Fertig, K.W.2
  • 9
    • 0000735610 scopus 로고
    • Operations for learning with graphical models
    • W.L. Buntine, Operations for learning with graphical models, J. Artificial Intelligence Res. 2 (1994) 159-225.
    • (1994) J. Artificial Intelligence Res. , vol.2 , pp. 159-225
    • Buntine, W.L.1
  • 12
    • 33748063566 scopus 로고
    • An axiomatic framework for propagating uncertainty in directed acyclic networks
    • J. Cano, M. Delgado, S. Moral, An axiomatic framework for propagating uncertainty in directed acyclic networks, Internat. J. Approx. Reason. 8 (1993) 253-280.
    • (1993) Internat. J. Approx. Reason. , vol.8 , pp. 253-280
    • Cano, J.1    Delgado, M.2    Moral, S.3
  • 13
    • 0026374073 scopus 로고
    • Bayesian networks without tears
    • E. Charniak, Bayesian networks without tears, AI Magazine 12 (4) (1991) 50-63.
    • (1991) AI Magazine , vol.12 , Issue.4 , pp. 50-63
    • Charniak, E.1
  • 14
    • 0002061428 scopus 로고
    • Incremental conditioning of lower and upper probabilities
    • L. Chrisman, Incremental conditioning of lower and upper probabilities, Internat. J. Approx. Reason. 13 (1) (1995) 1-25.
    • (1995) Internat. J. Approx. Reason. , vol.13 , Issue.1 , pp. 1-25
    • Chrisman, L.1
  • 16
    • 0042126914 scopus 로고    scopus 로고
    • Propagation of 2-monotone lower probabilities on an undirected graph
    • E. Horvitz, F. Jensen (Eds.), Morgan Kaufmann, San Francisco, CA
    • L. Chrisman, Propagation of 2-monotone lower probabilities on an undirected graph, in: E. Horvitz, F. Jensen (Eds.), Proc. XII Conference on Uncertainty in Artificial Intelligence, Morgan Kaufmann, San Francisco, CA, 1996, pp. 178-186.
    • (1996) Proc. XII Conference on Uncertainty in Artificial Intelligence , pp. 178-186
    • Chrisman, L.1
  • 18
    • 0025401005 scopus 로고
    • 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 (1990) 393-405.
    • (1990) Artificial Intelligence , vol.42 , pp. 393-405
    • Cooper, G.F.1
  • 19
    • 0008334058 scopus 로고    scopus 로고
    • Examples of independence for imprecise probabilities
    • G. de Cooman, F.G. Cozman, S. Moral, P. Walley (Eds.), Imprecise Probabilities Project, Universiteit Gent, Ghent, Belgium
    • I. Couso, S. Moral, P. Walley, Examples of independence for imprecise probabilities, in: G. de Cooman, F.G. Cozman, S. Moral, P. Walley (Eds.), Proc. 1st International Symposium on Imprecise Probabilities and Their Applications, Imprecise Probabilities Project, Universiteit Gent, Ghent, Belgium, 1999, pp. 121-130.
    • (1999) Proc. 1st International Symposium on Imprecise Probabilities and Their Applications , pp. 121-130
    • Couso, I.1    Moral, S.2    Walley, P.3
  • 20
    • 0006506913 scopus 로고    scopus 로고
    • Robustness analysis of Bayesian networks with local convex sets of distributions
    • D. Geiger, P. Shenoy (Eds.), Morgan Kaufmann, San Francisco, CA
    • F.G. Cozman, Robustness analysis of Bayesian networks with local convex sets of distributions, in: D. Geiger, P. Shenoy (Eds.), Proc. XIII Conference on Uncertainty in Artificial Intelligence, Morgan Kaufmann, San Francisco, CA, 1997, pp. 108-115.
    • (1997) Proc. XIII Conference on Uncertainty in Artificial Intelligence , pp. 108-115
    • Cozman, F.G.1
  • 21
    • 0002312961 scopus 로고    scopus 로고
    • Irrelevance and independence in Quasi-Bayesian networks
    • G. Cooper, S. Moral (Eds.), Morgan Kaufmann, San Francisco, CA
    • F.G. Cozman, Irrelevance and independence in Quasi-Bayesian networks, in: G. Cooper, S. Moral (Eds.), Proc. XIV Conference on Uncertainty in Artificial Intelligence, Morgan Kaufmann, San Francisco, CA, 1998, pp. 89-96.
    • (1998) Proc. XIV Conference on Uncertainty in Artificial Intelligence , pp. 89-96
    • Cozman, F.G.1
  • 23
    • 0002532555 scopus 로고
    • Independence concepts for convex sets of probabilities
    • P. Besnard, S. Hanks (Eds.), Morgan Kaufmann, San Francisco, CA
    • L. de Campos, S. Moral, Independence concepts for convex sets of probabilities, in: P. Besnard, S. Hanks (Eds.), Proc. XI Conference on Uncertainty in Artificial Intelligence, Morgan Kaufmann, San Francisco, CA, 1995, pp. 108-115.
    • (1995) Proc. XI Conference on Uncertainty in Artificial Intelligence , pp. 108-115
    • De Campos, L.1    Moral, S.2
  • 25
    • 0002251094 scopus 로고    scopus 로고
    • Bucket elimination: A unifying framework for probabilistic inference
    • E. Horvitz, F. Jensen (Eds.), Morgan Kaufmann, San Francisco, CA
    • R. Dechter, Bucket elimination: A unifying framework for probabilistic inference, in: E. Horvitz, F. Jensen (Eds.), Proc. XII Conference on Uncertainty in Artificial Intelligence, Morgan Kaufmann, San Francisco, CA, 1996, pp. 211-219.
    • (1996) Proc. XII Conference on Uncertainty in Artificial Intelligence , pp. 211-219
    • Dechter, R.1
  • 26
    • 0000744735 scopus 로고
    • Bayesian inference using intervals of measures
    • L. DeRobertis, J.A. Hartigan, Bayesian inference using intervals of measures, Ann. Statist. 9 (2) (1981) 235-244.
    • (1981) Ann. Statist. , vol.9 , Issue.2 , pp. 235-244
    • Derobertis, L.1    Hartigan, J.A.2
  • 27
    • 0038908610 scopus 로고
    • Geometric programming with signomials
    • R.J. Duffin, E.L. Peterson, Geometric programming with signomials, J. Optim. Theory Appl. 11 (1) (1973) 3-35.
    • (1973) J. Optim. Theory Appl. , vol.11 , Issue.1 , pp. 3-35
    • Duffin, R.J.1    Peterson, E.L.2
  • 28
    • 0003893658 scopus 로고
    • MIT Press, Cambridge, MA
    • J. Earman, Bayes or Bust?, MIT Press, Cambridge, MA, 1992.
    • (1992) Bayes or Bust?
    • Earman, J.1
  • 29
    • 0032202722 scopus 로고    scopus 로고
    • 2U: An exact interval propagation algorithm for polytrees with binary variables
    • E. Fagiuoli, M. Zaffalon, 2U: An exact interval propagation algorithm for polytrees with binary variables, Artificial Intelligence 106 (1) (1998) 77-107.
    • (1998) Artificial Intelligence , vol.106 , Issue.1 , pp. 77-107
    • Fagiuoli, E.1    Zaffalon, M.2
  • 30
    • 0001423319 scopus 로고
    • An algorithm for separable nonconvex programming problems
    • J. Falk, R. Soland, An algorithm for separable nonconvex programming problems, Management Science 15 (1969) 550-569.
    • (1969) Management Science , vol.15 , pp. 550-569
    • Falk, J.1    Soland, R.2
  • 31
    • 38249032695 scopus 로고
    • Lower probability models for uncertainty and nondeterministic processes
    • T.L. Fine, Lower probability models for uncertainty and nondeterministic processes, J. Statist. Plann. Inference 20 (1988) 389-411.
    • (1988) J. Statist. Plann. Inference , vol.20 , pp. 389-411
    • Fine, T.L.1
  • 33
    • 85012708436 scopus 로고
    • D-separation: From theorems to algorithms
    • M. Henrion, R.D. Shachter, L.N. Kanal, J.F. Lemmer (Eds.), Elsevier Science, Amsterdam
    • D. Geiger, T 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.2    Pearl, J.3
  • 34
    • 51849177679 scopus 로고
    • Quasi-Bayesian behaviour: A more realistic approach to decision making?
    • J.M. Bernardo, J.H. DeGroot, D.V. Lindley, A.F.M. Smith (Eds.), University Press, Valencia
    • F.J. Giron, S. Rios, Quasi-Bayesian behaviour: A more realistic approach to decision making?, in: J.M. Bernardo, J.H. DeGroot, D.V. Lindley, A.F.M. Smith (Eds.), Bayesian Statistics, University Press, Valencia, 1980, pp. 17-38.
    • (1980) Bayesian Statistics , pp. 17-38
    • Giron, F.J.1    Rios, S.2
  • 35
    • 0018519631 scopus 로고
    • A branch-and-bound method for reversed geometric programming
    • W. Gochet, Y. Smeers, A branch-and-bound method for reversed geometric programming, Oper. Res. 27 (5) (1979) 983-996.
    • (1979) Oper. Res. , vol.27 , Issue.5 , pp. 983-996
    • Gochet, W.1    Smeers, Y.2
  • 37
    • 0039637282 scopus 로고
    • Mathematical programming and convex geometry
    • P. Gruber, J.M. Wills (Eds.), Elsevier Science, Amsterdam
    • P. Gritzmann, V. Klee, Mathematical programming and convex geometry, in: P. Gruber, J.M. Wills (Eds.), Handbook of Convex Geometry A, Elsevier Science, Amsterdam, 1993, pp. 627-674.
    • (1993) Handbook of Convex Geometry A , pp. 627-674
    • Gritzmann, P.1    Klee, V.2
  • 38
    • 0009089682 scopus 로고    scopus 로고
    • Theoretical foundations for abstraction-based probabilistic planning
    • E. Horvitz, F. Jensen (Eds.), Morgan Kaufmann, San Francisco, CA
    • V. Ha, P. Haddawy, Theoretical foundations for abstraction-based probabilistic planning, in: E. Horvitz, F. Jensen (Eds.), Proc. XII Conference on Uncertainty in Artificial Intelligence, Morgan Kaufmann, San Francisco, CA, 1996, pp. 291-298.
    • (1996) Proc. XII Conference on Uncertainty in Artificial Intelligence , pp. 291-298
    • Ha, V.1    Haddawy, P.2
  • 40
    • 0026852552 scopus 로고
    • Two views of belief: Belief as generalized probability and belief as evidence
    • J.Y. Halpern, R. Fagin, Two views of belief: Belief as generalized probability and belief as evidence, Artificial Intelligence 54 (1992) 275-317.
    • (1992) Artificial Intelligence , vol.54 , pp. 275-317
    • Halpern, J.Y.1    Fagin, R.2
  • 41
    • 85037516008 scopus 로고
    • Divisive conditioning: Further results on dilation
    • Department of Statistics, Carnegie Mellon University, Pittsburgh, PA
    • T. Herron, T. Seidenfeld, L. Wasserman, Divisive conditioning: Further results on dilation, Technical Report 585, Department of Statistics, Carnegie Mellon University, Pittsburgh, PA, 1993.
    • (1993) Technical Report , vol.585
    • Herron, T.1    Seidenfeld, T.2    Wasserman, L.3
  • 42
    • 0010072372 scopus 로고
    • Solving mathematical programming problems with fractional objective functions
    • S. Schaible, W.T. Ziemba (Eds.), Academic Press, New York
    • T. Ibaraki, Solving mathematical programming problems with fractional objective functions, in: S. Schaible, W.T. Ziemba (Eds.), Generalized Concavity in Optimization and Economics, Academic Press, New York, 1981, pp. 440-472.
    • (1981) Generalized Concavity in Optimization and Economics , pp. 440-472
    • Ibaraki, T.1
  • 43
    • 0026125665 scopus 로고
    • Column generation methods for probabilistic logic
    • B. Jaumard, P. Hansen, M.P. de Aragão, Column generation methods for probabilistic logic, ORSA J. Comput. 3 (2) (1991) 135-148.
    • (1991) ORSA J. Comput. , vol.3 , Issue.2 , pp. 135-148
    • Jaumard, B.1    Hansen, P.2    De Aragão, M.P.3
  • 45
    • 0345986037 scopus 로고
    • Robustness of Bayesian Analyses
    • Elsevier Science, New York
    • J.B. Kadane (Ed.), Robustness of Bayesian Analyses, Studies in Bayesian Econometrics, Vol. 4, Elsevier Science, New York, 1984.
    • (1984) Studies in Bayesian Econometrics , vol.4
    • Kadane, J.B.1
  • 46
    • 0038571570 scopus 로고    scopus 로고
    • A review of techniques in the verified solution of constrained global optimization problems
    • R.B. Kearfott, V Kreinovich (Eds.), Kluwer, Dordrecht
    • R.B. Kearfott, A review of techniques in the verified solution of constrained global optimization problems, in: R.B. Kearfott, V Kreinovich (Eds.), Applications of Interval Computations, Kluwer, Dordrecht, 1996, pp. 23-60.
    • (1996) Applications of Interval Computations , pp. 23-60
    • Kearfott, R.B.1
  • 47
    • 0023314059 scopus 로고
    • Bayesian and non-Bayesian evidential updating
    • H.E. Kyburg Jr., Bayesian and non-Bayesian evidential updating, Artificial Intelligence 31 (1987) 271-293.
    • (1987) Artificial Intelligence , vol.31 , pp. 271-293
    • Kyburg H.E., Jr.1
  • 49
    • 0029322870 scopus 로고
    • Sensitivity analysis for probability assessments in Bayesian networks
    • K.B. Laskey, Sensitivity analysis for probability assessments in Bayesian networks, IEEE Trans. Systems Man Cybernet. 25 (6) (1995) 901-909.
    • (1995) IEEE Trans. Systems Man Cybernet. , vol.25 , Issue.6 , pp. 901-909
    • Laskey, K.B.1
  • 50
    • 0000181744 scopus 로고
    • Sensitivity in Bayesian statistics, the prior and the likelihood
    • M. Lavine, Sensitivity in Bayesian statistics, the prior and the likelihood, J. Amer. Statist. Assoc. 86 (414) (1991) 396-399.
    • (1991) J. Amer. Statist. Assoc. , vol.86 , Issue.414 , pp. 396-399
    • Lavine, M.1
  • 51
    • 0010016892 scopus 로고
    • Conditions for the existence of belief functions corresponding to intervals of belief
    • Anaheim, CA
    • J.F. Lemmer, H.E. Kyburg Jr., Conditions for the existence of belief functions corresponding to intervals of belief, in: Proc. AAAI-91, Anaheim, CA, 1991, pp. 488-493.
    • (1991) Proc. AAAI-91 , pp. 488-493
    • Lemmer, J.F.1    Kyburg H.E., Jr.2
  • 55
    • 0030284785 scopus 로고    scopus 로고
    • Computation of best bounds of probabilities from uncertain data
    • C. Luo, C. Yu, J. Lobo, G. Wang, T. Pham, Computation of best bounds of probabilities from uncertain data, Computational Intelligence 12 (4) (1996) 541-566.
    • (1996) Computational Intelligence , vol.12 , Issue.4 , pp. 541-566
    • Luo, C.1    Yu, C.2    Lobo, J.3    Wang, G.4    Pham, T.5
  • 57
    • 0345986035 scopus 로고
    • Minimal assumption distribution propagation in belief networks
    • D. Heckerman, A. Mamdani (Eds.), Morgan Kaufmann, San Francisco, CA
    • R. Musick, Minimal assumption distribution propagation in belief networks, in: D. Heckerman, A. Mamdani (Eds.), Proc. IX Conference on Uncertainty in Artificial Intelligence, Morgan Kaufmann, San Francisco, CA, 1993, pp. 251-258.
    • (1993) Proc. IX Conference on Uncertainty in Artificial Intelligence , pp. 251-258
    • Musick, R.1
  • 60
    • 0007469057 scopus 로고
    • Global solutions of mathematical programs with intrinsically concave functions
    • M. Avriel (Ed.), Plenum Press, New York
    • U. Passy, Global solutions of mathematical programs with intrinsically concave functions, in: M. Avriel (Ed.), Advances in Geometric Programming, Plenum Press, New York, 1980, pp. 355-373.
    • (1980) Advances in Geometric Programming , pp. 355-373
    • Passy, U.1
  • 63
    • 0008641712 scopus 로고
    • The logical foundations of evidential reasoning
    • SRI International, Menlo Park, CA
    • E.H. Ruspini, The logical foundations of evidential reasoning, Technical Report SRIN408, SRI International, Menlo Park, CA, 1987.
    • (1987) Technical Report SRIN408
    • Ruspini, E.H.1
  • 64
    • 0001271548 scopus 로고
    • Local learning in probabilistic networks with hidden variables
    • Montreal, Quebec
    • S. Russell, J. Binder, D. Koller, K. Kanazawa, Local learning in probabilistic networks with hidden variables, in: Proc. IJCAI-95, Montreal, Quebec, 1995, pp. 1146-1152.
    • (1995) Proc. IJCAI-95 , pp. 1146-1152
    • Russell, S.1    Binder, J.2    Koller, D.3    Kanazawa, K.4
  • 67
    • 0041849149 scopus 로고
    • Outline of a theory of partially ordered preferences
    • T. Seidenfeld, Outline of a theory of partially ordered preferences, Philosophical Topics 21 (1) (1993) 173-188.
    • (1993) Philosophical Topics , vol.21 , Issue.1 , pp. 173-188
    • Seidenfeld, T.1
  • 69
    • 85012737234 scopus 로고
    • Axioms for probability and belief-function propagation
    • R.D. Shachter, T.S. Levitt, L.N. Kanal, J.F. Lemmer (Eds.), Elsevier Science, North-Holland, Amsterdam
    • P.P. Shenoy, G. Shafer, Axioms for probability and belief-function propagation, in: R.D. Shachter, T.S. Levitt, L.N. Kanal, J.F. Lemmer (Eds.), Uncertainty in Artificial Intelligence 4, Elsevier Science, North-Holland, Amsterdam, 1990, pp. 169-198.
    • (1990) Uncertainty in Artificial Intelligence , vol.4 , pp. 169-198
    • Shenoy, P.P.1    Shafer, G.2
  • 71
    • 0003095061 scopus 로고
    • Consistency in statistical inference and decision
    • C.A.B. Smith, Consistency in statistical inference and decision, J. Roy. Statist. Soc. B 23 (1961) 1-25.
    • (1961) J. Roy. Statist. Soc. B , vol.23 , pp. 1-25
    • Smith, C.A.B.1
  • 73
    • 0008637523 scopus 로고
    • The measurement of belief
    • P. Suppes, The measurement of belief, J. Roy. Statist. Soc. B 2 (1974) 160-191.
    • (1974) J. Roy. Statist. Soc. B , vol.2 , pp. 160-191
    • Suppes, P.1
  • 74
    • 38249008516 scopus 로고
    • Interval probability propagation
    • B. Tessem, Interval probability propagation, Internat. J. Approx. Reason. 7 (1992) 95-120.
    • (1992) Internat. J. Approx. Reason. , vol.7 , pp. 95-120
    • Tessem, B.1
  • 75
    • 0042721538 scopus 로고
    • Computing probability intervals under independency constraints
    • P.P. Bonissone, M. Henrion, J.F. Lemmer (Eds.), Elsevier Science, Amsterdam
    • L. van der Gaag, Computing probability intervals under independency constraints, in: P.P. Bonissone, M. Henrion, J.F. Lemmer (Eds.), Uncertainty in Artificial Intelligence 6, Elsevier Science, Amsterdam, 1991, pp. 457-466.
    • (1991) Uncertainty in Artificial Intelligence , vol.6 , pp. 457-466
    • Van Der Gaag, L.1
  • 77
    • 0030146168 scopus 로고    scopus 로고
    • Measures of uncertainty in expert systems
    • P. Walley, Measures of uncertainty in expert systems, Artificial Intelligence 83 (1996) 1-58.
    • (1996) Artificial Intelligence , vol.83 , pp. 1-58
    • Walley, P.1
  • 78
    • 0000587795 scopus 로고
    • Towards a frequentist theory of upper and lower probability
    • P. Walley, T.L. Fine, Towards a frequentist theory of upper and lower probability, Ann. Statist. 10 (3) (1982) 741-761.
    • (1982) Ann. Statist. , vol.10 , Issue.3 , pp. 741-761
    • Walley, P.1    Fine, T.L.2
  • 79
    • 21144470642 scopus 로고
    • Invariance properties of density ratio priors
    • L.A. Wasserman, Invariance properties of density ratio priors, Ann. Statist. 20 (4) (1992) 2177-2182.
    • (1992) Ann. Statist. , vol.20 , Issue.4 , pp. 2177-2182
    • Wasserman, L.A.1
  • 80
    • 0000083758 scopus 로고
    • Recent methodological advances in robust Bayesian inference
    • J.M. Bernardo, J.O. Berger, A.P. Dawid, A.F.M. Smith (Eds.), Oxford University Press, Oxford
    • L.A. Wasserman, Recent methodological advances in robust Bayesian inference, in: J.M. Bernardo, J.O. Berger, A.P. Dawid, A.F.M. Smith (Eds.), Bayesian Statistics 4, Oxford University Press, Oxford, 1992, pp. 483-502.
    • (1992) Bayesian Statistics , vol.4 , pp. 483-502
    • Wasserman, L.A.1
  • 82
    • 0001225772 scopus 로고
    • Bayes' theorem for Choquet capacities
    • L.A. Wasserman, J.B. Kadane, Bayes' theorem for Choquet capacities, Ann. Statist. 18 (3) (1990) 1328-1339.
    • (1990) Ann. Statist. , vol.18 , Issue.3 , pp. 1328-1339
    • Wasserman, L.A.1    Kadane, J.B.2
  • 84
    • 0042199536 scopus 로고    scopus 로고
    • A credal approach to naive classification
    • G. de Cooman, F.G. Cozman, S. Moral, P. Walley (Eds.), Imprecise Probabilities Project, Universiteit Gent, Ghent, Belgium
    • M. Zaffalon, A credal approach to naive classification, in: G. de Cooman, F.G. Cozman, S. Moral, P. Walley (Eds.), Proc. 1st International Symposium on Imprecise Probabilities and Their Applications, Imprecise Probabilities Project, Universiteit Gent, Ghent, Belgium, 1999, pp. 405-414.
    • (1999) Proc. 1st International Symposium on Imprecise Probabilities and Their Applications , pp. 405-414
    • Zaffalon, M.1


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