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BN_refs - AgenaRisk.doc


									         Bayesian Net References

                         Version 4

                       13 July 2008

This document contains a list of references to publications and
reports about Bayesian Net technology, and especially Bayesian
Net applications. The report will be regularly updated and we
welcome suggestions for new references to be added. Please send
new references for inclusion to

                      Agena Limited
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                    London EC1N 8DL
1.    Abdel-Hamid, T. K. (1996). The slippery path to productivity improvement.
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2.    Abderrahim, D., L. Bernard, et al. (2006). TIDES - Using Bayesian Networks for
      Student Modeling. Proceedings of the Sixth IEEE International Conference on
      Advanced Learning Technologies, IEEE Computer Society: 1002 - 1007
3.    Abramson, B. (1994). "The design of belief network-based systems for price
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4.    Abramson, B., J. Brown, et al. (1996). "HAILFINDER: A Bayesian system for
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5.    Ackerman, F. and C. Eden (2005). "Using Causal Mapping with Group Support
      Systems to Elicit an Understanding of Failure in Complex Projects: Some
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6.    Ackermann, F., C. Eden, et al. (1997). "Modeling for Litigation: Mixing
      Qualitative and Quantitative Approaches." Interfaces 27: 48-65
7.    Aires, F., C. Prigent, et al. (2004). "Neural network uncertainty assessment using
      Bayesian statistics: a remote sensing application." Neural Comput 16(11): 2415-
8.    Aitken, C. (1996). "Lies, damned lies and expert witnesses." Mathematics Today
      (Bulletin of the IMA) 32(5/6): 76-80
9.    Aitken, C., F. Taroni, et al. (2003). "A graphical model for the evaluation of
      cross-transfer evidence in DNA profiles." Theoretical Population Biology 63:
10.   Aitken, C. G. G. (2004 ). Statistical interpretation of evidence: Bayesian
      analysis, Joseph Bell Centre for Forensic Statistics & Legal Reasoning
11.   Aitken, C. G. G., T. Connolly, et al. (1995). Bayesian belief networks with an
      application in specific case analysis. Computational Learning and Probabilistic
      Reasoning. A. Gammerman, John Wiley and Sons Ltd.
12.   Aitken, C. G. G., T. Connolly, et al. (1996). "Statistical modelling in specific
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13.   Aktaşa, E., F. Ülengin, et al. (2007). "A decision support system to improve the
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14.   Aliferis, C. F. and G. F. Cooper (1996). An Evaluation of an Algorithm for
      Inductive Learning of Bayesian Belief Networks Using Simulated Data Sets.
      Section of Medical Informatics & Intelligent Systems Program,University of
15.   Aliferis, C. F. and G. F. Cooper (1996). A Structurally and Temporally Extended
      Bayesian Belief Network Model: Definitions, Properties, and Modelling
16.   Alterovitz, G., M. Xiang, et al. (2007). "GO PaD: the Gene Ontology Partition
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17.   Alvarez, S. M., B. A. Poelstra, et al. (2006). "Evaluation of a Bayesian decision
      network for diagnosing pyloric stenosis." J Pediatr Surg 41(1): 155-61;
      discussion 155-61
18.   Amasaki, S., O. Mizuno, et al. (2003). A Bayesian Belief Network for Predicting
      Residual Faults in Software Products. Proceedings of 14th International
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19.   An, X., D. Jutla, et al. (2006). Privacy intrusion detection using dynamic
      Bayesian networks. Proceedings of the 8th international conference on
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      internet. Fredericton, New Brunswick, Canada, ACM: 208 - 215
20.   Anderson, S. K., K. G. Olesen, et al. (2000). HUGIN - a shell for building
      Bayesian belief universes for expert systems. 11th Intl Joint Conf Artifical
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21.   Andreassen, M. Woldbye, et al. (1987). MUNIN: a causal probabilistic network
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22.   Andreassen, S., F. Jensen, et al. (1991). "Medical expert systems based on causal
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23.   Andreassen, S., C. Riekehr, et al. (1999). "Using probabilistic and decision-
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24.   Antal, P., G. Fannes, et al. (2003). "Bayesian applications of belief networks and
      multilayer perceptrons for ovarian tumor classification with rejection." Artif
      Intell Med 29(1-2): 39-60
25.   Antal, P., G. Fannes, et al. (2004). "Using literature and data to learn Bayesian
      networks as clinical models of ovarian tumors." Artif Intell Med 30(3): 257-81

26.   Arens, D. A. (1982). "Widowhood and well-being: an examination of sex
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27.   Aronsky, D., M. Fiszman, et al. (2001). "Combining decision support
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28.   Aronsky, D. and P. J. Haug (1998). "Diagnosing community-acquired
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29.   Aronsky, D. and P. J. Haug (2000). "Automatic identification of patients eligible
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30.   Astakhov, V. and A. Cherkasov (2005). "Prediction of HLA-A2 binding peptides
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31.   Athanasiou, M. and J. Y. Clark (2007). A Bayesian Network Model for the
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      Twentieth IEEE International Symposium on Computer-Based Medical Systems
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32.   Bacon, P. J., J. D. Cain, et al. (2002). "Belief network models of land manager
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33.   Bahrami, H. (2006). "Causal models in primary open angle glaucoma."
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34.   Bai, C.-G. (2005). "Bayesian network based software reliability prediction with
      an operational profile." J. Syst. Softw. 77(2): 103-112
35.   Bai, C. G., Q. P. Hu, et al. (2005). "Software failure prediction based on a
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36.   Baker, M. (2000). Diagnostic system utilizing a Bayesian network model having
      link weights updated experimentally. Patent number: 6076083
37.   Bang, J. W. and D. Gillies (2002). Using Bayesian Networks to Model the
      Prognosis of Hepatitis C. In 7th Workshop on Intelligent Data Analysis in
      Medicine and Pharmacology, pages 7.15, Lyon, France
38.   Bang, J. W. and D. Gillies (2002). Using Bayesian Networks with Hidden Nodes
      to Recognise Neural Cell Morphology. In M. Ishizuka and A. Satter, editors, 7th
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39.   Bangsø, O. and P. H. Wuillemin (2000). Top-down construction and repetitive
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40.   Barahona, P. (1994). "A causal and temporal reasoning model and its use in drug
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41.   Barker, G. C. (2004). Application of Bayesian Belief Network models to food
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42.   Batchelor, C. and J. Cain (1999). "Application of belief networks to water
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43.   Bate, A. (2007). "Bayesian confidence propagation neural network." Drug Saf
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44.   Bate, A., M. Lindquist, et al. (1998). "A Bayesian neural network method for
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45.   Bate, A., M. Lindquist, et al. (2002). "A data mining approach for signal
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46.   Bate, A., M. Lindquist, et al. (2002). "Data-mining analyses of
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47.   Bauer, E., D. Koller, et al. (1997). Update rules for parameter estimation in
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51.   Bearfield, G. and W. Marsh (2005). Generalising Event Trees Using Bayesian
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56.   Bibi, S. and I. Stamelos (2004). Software Process Modeling with Bayesian
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57.   Biedermann, A., F. Taroni, et al. (2005). "The evaluation of evidence in the
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61.   Bobbio, A., L. Portinale, et al. (2001). "Improving the analysis of dependable
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69.   Boudali, H. and J. B. Dugan (2006). "A Continuous-Time Bayesian Network
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73.   Brage, D. and W. Meredith (1994). "A causal model of adolescent depression." J
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74.   Brewer, M. J. (2003). "Discretisation for inference on Bayesian mixture
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76.   Bryan, B. and M. Garrod (2006). Combining rapid field assessment with a
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77.   Bulashevska, S., O. Szakacs, et al. (2004). "Pathways of urothelial cancer
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78.   Burden, F. R. and D. A. Winkler (2005). "Predictive Bayesian neural network
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79.   Burge, J., T. Lane, et al. (2007). "Discrete dynamic Bayesian network analysis of
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82.   Burnside, E., D. Rubin, et al. (2004). "Using a Bayesian network to predict the
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83.   Burnside, E. S. (2005). "Bayesian networks: computer-assisted diagnosis support
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84.   Burnside, E. S., D. L. Rubin, et al. (2006). "Bayesian network to predict breast
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95.   Chang, J., K. Hwang, et al. (2005). "Bayesian network learning with feature
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99.    Chavira, M., A. Darwiche, et al. (2006). "Compiling Relational Bayesian
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150.   Dexheimer, J. W., L. E. Brown, et al. (2007). "Comparing decision support
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