메뉴 건너뛰기




Volumn 13, Issue 4, 1998, Pages 321-351

Learning probabilistic networks

Author keywords

[No Author keywords available]

Indexed keywords

GRAPH THEORY; KNOWLEDGE ENGINEERING; MATHEMATICAL MODELS; PROBABILITY;

EID: 0032273105     PISSN: 02698889     EISSN: None     Source Type: Journal    
DOI: 10.1017/s0269888998004019     Document Type: Article
Times cited : (35)

References (104)
  • 1
    • 0016355478 scopus 로고
    • A new look at statistical model identification
    • Akaike, H, 1974. "A new look at statistical model identification" IEEE Trans. Automatic Control 19 716-723.
    • (1974) IEEE Trans. Automatic Control , vol.19 , pp. 716-723
    • Akaike, H.1
  • 5
    • 0001244539 scopus 로고
    • Model search in contingency tables in CoCo
    • Dodge, Y and Wittaker, J (eds), Physica Verlag
    • Badsberg, J, 1992. "Model search in contingency tables in CoCo" in Dodge, Y and Wittaker, J (eds), Computational Statistics Physica Verlag, pp. 251-256.
    • (1992) Computational Statistics , pp. 251-256
    • Badsberg, J.1
  • 6
    • 0002858519 scopus 로고
    • A Bayesian analysis of simple mixture problems
    • Bernardo, JM, DeGroot, MH, Lindley, DV and Smith, AFM (eds), Oxford University Press
    • Bernardo, JM and Giron, FJ, 1988. "A Bayesian analysis of simple mixture problems" in Bernardo, JM, DeGroot, MH, Lindley, DV and Smith, AFM (eds), Bayesian Statistics 3 Oxford University Press, pp. 67-78.
    • (1988) Bayesian Statistics 3 , pp. 67-78
    • Bernardo, J.M.1    Giron, F.J.2
  • 10
    • 0000735610 scopus 로고
    • Operations for learning with graphical models
    • Buntine, W, 1994. "Operations for learning with graphical models" J. Artificial Intelligence Research 2 159-225.
    • (1994) J. Artificial Intelligence Research , vol.2 , pp. 159-225
    • Buntine, W.1
  • 11
    • 0030124955 scopus 로고    scopus 로고
    • A guide to the literature on learning probabilistic networks from data
    • Buntine, W, 1996. "A guide to the literature on learning probabilistic networks from data" IEEE Trans. Knowledge and Data Engineering 8 195-210.
    • (1996) IEEE Trans. Knowledge and Data Engineering , vol.8 , pp. 195-210
    • Buntine, W.1
  • 12
    • 0002013121 scopus 로고
    • A transformational characterisation of equivalent Bayesian network structures
    • Besnard, P and Hanks, S (eds), Morgan Kaufmann
    • Chickering, D, 1995. "A transformational characterisation of equivalent Bayesian network structures" in Besnard, P and Hanks, S (eds), Uncertainty in Artificial Intelligence: Proceedings of the Eleventh Conference Morgan Kaufmann, pp. 87-98.
    • (1995) Uncertainty in Artificial Intelligence: Proceedings of the Eleventh Conference , pp. 87-98
    • Chickering, D.1
  • 17
    • 18844439321 scopus 로고
    • Bayesian Method for the Induction of Probabilistic Networks from Data
    • Section on Medical Informatics, Stanford University
    • Cooper, GF and Herskovits, E, 1992a. "Bayesian Method for the Induction of Probabilistic Networks from Data" Technical Report SMI-91-1, Section on Medical Informatics, Stanford University.
    • (1992) Technical Report SMI-91-1
    • Cooper, G.F.1    Herskovits, E.2
  • 18
    • 34249832377 scopus 로고
    • Bayesian method for the induction of probabilistic networks from data
    • Cooper, GF and Herskovits, E, 1992b. "Bayesian method for the induction of probabilistic networks from data" Machine Learning 9 309-347.
    • (1992) Machine Learning , vol.9 , pp. 309-347
    • Cooper, G.F.1    Herskovits, E.2
  • 19
    • 0012483452 scopus 로고    scopus 로고
    • A comparison of sequential learning methods for incomplete data
    • Clarendon Press
    • Cowell, RG, Dawid, AP and Sebastiani, P, 1996. "A comparison of sequential learning methods for incomplete data" in Bayesian Statistics 5 Clarendon Press, pp. 533-542.
    • (1996) Bayesian Statistics 5 , pp. 533-542
    • Cowell, R.G.1    Dawid, A.P.2    Sebastiani, P.3
  • 20
    • 0000306981 scopus 로고
    • Causality and graphical models
    • Proc. 49th Session
    • Cox, D, 1993. "Causality and graphical models" Bull. Int. Stat. Inst., Proc. 49th Session 1, 365-372.
    • (1993) Bull. Int. Stat. Inst. , vol.1 , pp. 365-372
    • Cox, D.1
  • 21
    • 0002384709 scopus 로고
    • Conditional independence in statistical theory
    • Dawid, AP, 1979. "Conditional independence in statistical theory" J. Roy. Statist. Soc. B 49 1-31.
    • (1979) J. Roy. Statist. Soc. B , vol.49 , pp. 1-31
    • Dawid, A.P.1
  • 22
    • 21344482755 scopus 로고
    • Hyper Markov laws in the statistical analysis of decomposable graphical models
    • Dawid, AP and Lauritzen, SL, 1993. "Hyper Markov laws in the statistical analysis of decomposable graphical models" Annals of Statistics 21 1272-1317.
    • (1993) Annals of Statistics , vol.21 , pp. 1272-1317
    • Dawid, A.P.1    Lauritzen, S.L.2
  • 24
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • Dempster, A, Laird, N and Rubin, D, 1977. "Maximum likelihood from incomplete data via the EM algorithm" J. Roy. Statist. Soc. B 39 1-38.
    • (1977) J. Roy. Statist. Soc. B , vol.39 , pp. 1-38
    • Dempster, A.1    Laird, N.2    Rubin, D.3
  • 25
    • 0002624201 scopus 로고
    • Elicitation of probabilities for belief networks: Combining qualitative and quantitative information
    • Besnard, P and Hanks, S (eds), Morgan Kaufmann
    • Druzdzel, MJ and van der Gaag, LC, 1995. "Elicitation of probabilities for belief networks: Combining qualitative and quantitative information" in Besnard, P and Hanks, S (eds), Uncertainly in Artificial Intelligence: Proceedings of the Eleventh Conference Morgan Kaufmann, pp. 141-148.
    • (1995) Uncertainly in Artificial Intelligence: Proceedings of the Eleventh Conference , pp. 141-148
    • Druzdzel, M.J.1    Van Der Gaag, L.C.2
  • 29
    • 0030359493 scopus 로고    scopus 로고
    • Building classifiers using Bayesian networks
    • AAAI Press
    • Friedman, N and Goldszmidt, M, 1996b. "Building classifiers using Bayesian networks" Proceedings of AAAI-96 AAAI Press, pp. 1277-1284.
    • (1996) Proceedings of AAAI-96 , pp. 1277-1284
    • Friedman, N.1    Goldszmidt, M.2
  • 31
    • 0002977294 scopus 로고
    • A characterisation of the Dirichlet distribution with application to learning Bayesian networks
    • Besnard, P and Hanks, S (eds), Morgan Kaufmann
    • Geiger, D and Heckerman, D, 1995. "A characterisation of the Dirichlet distribution with application to learning Bayesian networks" in Besnard, P and Hanks, S (eds), Uncertainty in Artificial Intelligence: Proceedings of the Eleventh Conference Morgan Kaufmann, pp. 196-207.
    • (1995) Uncertainty in Artificial Intelligence: Proceedings of the Eleventh Conference , pp. 196-207
    • Geiger, D.1    Heckerman, D.2
  • 33
    • 77956890234 scopus 로고
    • Monte Carlo sampling methods using Markov chains and their applications
    • Hastings, W, 1970. "Monte Carlo sampling methods using Markov chains and their applications" Biometrika 57 97-109.
    • (1970) Biometrika , vol.57 , pp. 97-109
    • Hastings, W.1
  • 34
    • 84987031663 scopus 로고
    • Probabilistic similarity networks
    • Heckerman, D, 1990. "Probabilistic similarity networks" Networks 20 607-636.
    • (1990) Networks , vol.20 , pp. 607-636
    • Heckerman, D.1
  • 35
    • 0002494175 scopus 로고
    • Real-world applications of Bayesian networks
    • Heckerman, D, Mamdani, A and Wellman, M, 1995. "Real-world applications of Bayesian networks" Comm. ACM 38.
    • (1995) Comm. ACM , vol.38
    • Heckerman, D.1    Mamdani, A.2    Wellman, M.3
  • 36
    • 0000868434 scopus 로고    scopus 로고
    • Bayesian networks for knowledge discovery
    • Fayyad, UM, Piatetsky-Shapiro, G, Smyth, P and Uthurusamy, R (eds), MIT Press
    • Heckerman, D, 1996a. "Bayesian networks for knowledge discovery" in Fayyad, UM, Piatetsky-Shapiro, G, Smyth, P and Uthurusamy, R (eds), Advances in Knowledge Discovery and Data Mining MIT Press, pp. 273-305.
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 273-305
    • Heckerman, D.1
  • 37
    • 0003846041 scopus 로고    scopus 로고
    • A Tutorial on Learning with Bayesian Networks
    • Microsoft Corporation, Redmond, USA
    • Heckerman, D, 1996b. A Tutorial on Learning with Bayesian Networks Technical Report MSR-TR-95-06, Microsoft Corporation, Redmond, USA.
    • (1996) Technical Report MSR-TR-95-06
    • Heckerman, D.1
  • 40
    • 34249761849 scopus 로고
    • Learning Bayesian networks: The combination of knowledge and statistical data
    • Heckerman, D, Geiger, D and Chickering, D, 1995. "Learning Bayesian networks: The combination of knowledge and statistical data" Machine Learning 20 197-243.
    • (1995) Machine Learning , vol.20 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.3
  • 43
    • 0006178651 scopus 로고
    • User's guide to BIOFROST
    • Department of Mathematics and Computer Science, Aalborg, Denmark
    • Højsgaard, S, Skjøth, F and Thiesson, B, 1994. "User's guide to BIOFROST" Technical report, Department of Mathematics and Computer Science, Aalborg, Denmark.
    • (1994) Technical Report
    • Højsgaard, S.1    Skjøth, F.2    Thiesson, B.3
  • 46
    • 0001698979 scopus 로고
    • Bayesian Updating in Recursive Graphical Models by Local Computations
    • Department of Mathematics and Computer Science, University of Aalborg, Denmark
    • Jensen, FV, Lauritzen, SL and Olesen, KG, 1989. "Bayesian Updating in Recursive Graphical Models by Local Computations" Technical Report R 89-15, Department of Mathematics and Computer Science, University of Aalborg, Denmark.
    • (1989) Technical Report R 89-15
    • Jensen, F.V.1    Lauritzen, S.L.2    Olesen, K.G.3
  • 47
    • 84987047423 scopus 로고
    • An algebra of Bayesian belief universes for knowledge-based systems
    • Jensen, FV, Olesen, KG and Andersen, SK, 1990. "An algebra of Bayesian belief universes for knowledge-based systems" Networks 20 637-659.
    • (1990) Networks , vol.20 , pp. 637-659
    • Jensen, F.V.1    Olesen, K.G.2    Andersen, S.K.3
  • 49
    • 1342277260 scopus 로고
    • Bayes Factors and Model Uncertainty
    • Department of Statistics, Carnegie Mellon University
    • Kass, R and Raftery, A, 1993. "Bayes Factors and Model Uncertainty" Technical Report 571, Department of Statistics, Carnegie Mellon University.
    • (1993) Technical Report 571
    • Kass, R.1    Raftery, A.2
  • 51
    • 58149210716 scopus 로고
    • The EM algorithm for graphical association models with missing data
    • Lauritzen, SL, 1995. "The EM algorithm for graphical association models with missing data" Computational Statistics & Data Analysis 19 192-210.
    • (1995) Computational Statistics & Data Analysis , vol.19 , pp. 192-210
    • Lauritzen, S.L.1
  • 53
    • 0001006209 scopus 로고
    • Local computations with probabilities on graphical structures and their application to expert systems (with discussion)
    • Lauritzen, SL and Spiegelhalter, DJ, 1988. "Local computations with probabilities on graphical structures and their application to expert systems (with discussion)" J. Roy. Stat. Soc. Ser. B 50 157-224.
    • (1988) J. Roy. Stat. Soc. Ser. B , vol.50 , pp. 157-224
    • Lauritzen, S.L.1    Spiegelhalter, D.J.2
  • 55
    • 0042121346 scopus 로고
    • Diagnostic systems created by model selection methods: A case study
    • Cheeseman, P and Oldford, R (eds), AI and Statistics IV
    • Lauritzen, SL, Thiesson, S and Spiegelhalter, D, 1994. "Diagnostic systems created by model selection methods: a case study" in Cheeseman, P and Oldford, R (eds), AI and Statistics IV Springer-Verlag Lecture Notes in Statistics vol 89, pp. 143-152.
    • (1994) Springer-Verlag Lecture Notes in Statistics , vol.89 , pp. 143-152
    • Lauritzen, S.L.1    Thiesson, S.2    Spiegelhalter, D.3
  • 57
    • 84950945692 scopus 로고
    • Model selection and accounting for model uncertainty in graphical models using Occam's window
    • Madigan, D and Raftery, A, 1994. "Model selection and accounting for model uncertainty in graphical models using Occam's window" J. Am. Statist. Association 89 1535-1546.
    • (1994) J. Am. Statist. Association , vol.89 , pp. 1535-1546
    • Madigan, D.1    Raftery, A.2
  • 58
  • 60
    • 0002753068 scopus 로고
    • Causal inference and causal explanation with background knowledge
    • Besnard, P and Hanks, S (eds), Morgan Kaufmann
    • Meek, C, 1995. "Causal inference and causal explanation with background knowledge" in Besnard, P and Hanks, S (eds), Uncertainty in Artificial Intelligence: Proceedings of the Eleventh Conference Morgan Kaufmann, pp. 403-410.
    • (1995) Uncertainty in Artificial Intelligence: Proceedings of the Eleventh Conference , pp. 403-410
    • Meek, C.1
  • 61
    • 0001232538 scopus 로고
    • A fast improvement to the EM algorithm on its own terms
    • Meilijson, I, 1989. "A fast improvement to the EM algorithm on its own terms" J. Roy Statist. Soc. B 51(1) 127-138.
    • (1989) J. Roy Statist. Soc. B , vol.51 , Issue.1 , pp. 127-138
    • Meilijson, I.1
  • 62
    • 0004087397 scopus 로고
    • Probabilistic inference using Markov chain Monte Carlo methods
    • Department of Computer Science, University of Toronto
    • Neal, R, 1993. "Probabilistic inference using Markov chain Monte Carlo methods" Technical Report CRG-TR-93-1, Department of Computer Science, University of Toronto.
    • (1993) Technical Report CRG-TR-93-1
    • Neal, R.1
  • 66
    • 0001937077 scopus 로고
    • A constraint-propagation approach to probabilistic reasoning
    • Kanal, LN and Lemmer, JF (eds), North-Holland
    • Pearl, J, 1986. "A constraint-propagation approach to probabilistic reasoning" in Kanal, LN and Lemmer, JF (eds), Uncertainty in Artificial Intelligence North-Holland, pp. 371-382
    • (1986) Uncertainty in Artificial Intelligence , pp. 371-382
    • Pearl, J.1
  • 68
    • 0010757113 scopus 로고
    • On the testability of causal models with latent and instrumental variables
    • Besnard, P and Hanks, D (eds), Morgan Kaufmann
    • Pearl, J, 1995. "On the testability of causal models with latent and instrumental variables" in Besnard, P and Hanks, D (eds), Uncertainty in Artificial Intelligence: Proceedings of the Eleventh Conference Morgan Kaufmann, pp. 435-443.
    • (1995) Uncertainty in Artificial Intelligence: Proceedings of the Eleventh Conference , pp. 435-443
    • Pearl, J.1
  • 69
    • 77956888769 scopus 로고
    • Causal diagrams for empirical research
    • Pearl, J, 1995. "Causal diagrams for empirical research" Biometrika 82 669-710.
    • (1995) Biometrika , vol.82 , pp. 669-710
    • Pearl, J.1
  • 74
    • 0000208683 scopus 로고
    • Stochastic complexity (with discussion)
    • Rissanen, J, 1987. "Stochastic complexity (with discussion)" J. Roy. Statist. Soc. B 49 223-239.
    • (1987) J. Roy. Statist. Soc. B , vol.49 , pp. 223-239
    • Rissanen, J.1
  • 75
    • 46149139403 scopus 로고
    • A new approach to causal inference in mortality studies with sustained exposure results
    • Robins, J, 1986. "A new approach to causal inference in mortality studies with sustained exposure results" Mathematical Modelling 7 1393-1512.
    • (1986) Mathematical Modelling , vol.7 , pp. 1393-1512
    • Robins, J.1
  • 77
    • 58149417330 scopus 로고
    • Estimating causal effects of treatments in randomized and nonrandomized studies
    • Rubin, DB, 1974. "Estimating causal effects of treatments in randomized and nonrandomized studies" J. Educational Psychology 66 688-701.
    • (1974) J. Educational Psychology , vol.66 , pp. 688-701
    • Rubin, D.B.1
  • 78
    • 0002531157 scopus 로고
    • Bayesian inference for causal effects: The role of randomisation
    • Rubin, DB, 1978. "Bayesian inference for causal effects: The role of randomisation" Annals of Statistics 6 34-58.
    • (1978) Annals of Statistics , vol.6 , pp. 34-58
    • Rubin, D.B.1
  • 79
    • 0026354283 scopus 로고
    • Practical implications of modes of statistical inference on causal effects and the critical role of the assignment mechanism
    • Rubin, DB, 1991. "Practical implications of modes of statistical inference on causal effects and the critical role of the assignment mechanism" Biometrics 47 1213-1234.
    • (1991) Biometrics , vol.47 , pp. 1213-1234
    • Rubin, D.B.1
  • 82
    • 0000120766 scopus 로고
    • Estimating the dimensions of a model
    • Schwarz, G, 1978. "Estimating the dimensions of a model" Annals of Statistics 6 461-464.
    • (1978) Annals of Statistics , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 83
    • 0022818911 scopus 로고
    • Evaluating influence diagrams
    • Shachter, RD, 1986. "Evaluating influence diagrams" Operations Research 34 871-882.
    • (1986) Operations Research , vol.34 , pp. 871-882
    • Shachter, R.D.1
  • 84
    • 0039331790 scopus 로고
    • Evidence absoprtion and propagation through evidence reversals
    • Henrion et al. (eds)
    • Shachter, RD, 1990. "Evidence absoprtion and propagation through evidence reversals" in Henrion et al. (eds), Uncertainty and Artificial Intelligence 5 173-190.
    • (1990) Uncertainty and Artificial Intelligence , vol.5 , pp. 173-190
    • Shachter, R.D.1
  • 85
    • 0007152230 scopus 로고
    • Efficient learning of selective Bayesian network classifiers
    • Computer and Information Science Department, University of Pennyslvania, Philadelphia, PA
    • Singh, M and Provan, G, 1995. "Efficient learning of selective Bayesian network classifiers" Technical report MS-CS-95-36, Computer and Information Science Department, University of Pennyslvania, Philadelphia, PA.
    • (1995) Technical Report MS-CS-95-36
    • Singh, M.1    Provan, G.2
  • 86
  • 88
    • 84986980101 scopus 로고
    • Sequential updating of conditional probabilities on directed graphical structures
    • Spiegelhalter, DJ and Lauritzen, SL, 1990. "Sequential updating of conditional probabilities on directed graphical structures" Networks 20 579-605.
    • (1990) Networks , vol.20 , pp. 579-605
    • Spiegelhalter, D.J.1    Lauritzen, S.L.2
  • 89
    • 0000529827 scopus 로고
    • Learning in probabilistic expert systems
    • Bernardo, JM, Berger, JO, Dawid, AP and Smith, AF (eds), Oxford University Press
    • Spiegelhalter, DJ and Cowell, R, 1992. "Learning in probabilistic expert systems" in Bernardo, JM, Berger, JO, Dawid, AP and Smith, AF (eds), Bayesian Statistics 4 Oxford University Press, pp. 447-465.
    • (1992) Bayesian Statistics 4 , pp. 447-465
    • Spiegelhalter, D.J.1    Cowell, R.2
  • 90
    • 18844422376 scopus 로고
    • Empirical evaluation of prior beliefs about frequencies: Methodology and a case study in congenital heart disease
    • MRC Biostatistics unit, Cambridge, England
    • Spiegelhalter, DJ, Harris, N, Bull, K and Franklin, R, 1991. "Empirical evaluation of prior beliefs about frequencies: methodology and a case study in congenital heart disease" BAIES Report BR-24, MRC Biostatistics unit, Cambridge, England.
    • (1991) BAIES Report BR-24
    • Spiegelhalter, D.J.1    Harris, N.2    Bull, K.3    Franklin, R.4
  • 96
    • 0001279441 scopus 로고
    • BUGS: A program to perform Bayesian inference using gibbs sampling
    • Bernardo, JM, Berger, JO, Dawid, AP and Smith, AF (eds), Oxford University Press
    • Thomas, A, Spiegelhalter, DJ and Gilks, WR, 1992. "BUGS: A program to perform Bayesian inference using gibbs sampling" in Bernardo, JM, Berger, JO, Dawid, AP and Smith, AF (eds), Bayesian Statistics 4 Oxford University Press, pp. 837-842.
    • (1992) Bayesian Statistics 4 , pp. 837-842
    • Thomas, A.1    Spiegelhalter, D.J.2    Gilks, W.R.3
  • 97
    • 0000486814 scopus 로고
    • Updating a diagnostic system using unconfirmed cases
    • Titterington, DM, 1976. "Updating a diagnostic system using unconfirmed cases" Applied Statistics 25 238-247.
    • (1976) Applied Statistics , vol.25 , pp. 238-247
    • Titterington, D.M.1
  • 101
    • 0002515017 scopus 로고
    • On substantive research hypotheses, conditional independence graphs and graphical chain models
    • Wermuth, N and Lauritzen, SL, 1990. "On substantive research hypotheses, conditional independence graphs and graphical chain models" J. Roy. Stat. Soc. B 52 21-50.
    • (1990) J. Roy. Stat. Soc. B , vol.52 , pp. 21-50
    • Wermuth, N.1    Lauritzen, S.L.2
  • 103
    • 84947355523 scopus 로고
    • The assessment of prior distributions in Bayesian analysis
    • Winkler, R, 1967. "The assessment of prior distributions in Bayesian analysis" American Statistical Association 62 776-800.
    • (1967) American Statistical Association , vol.62 , pp. 776-800
    • Winkler, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.