
This Article  
 
Share  
Bibliographic References  
Add to:  
Digg Furl Spurl Blink Simpy Del.icio.us Y!MyWeb  
Search  
 
ASCII Text  x  
N. Fenton, Xiaoli Chen, M. Neil, "Optimizing the Calculation of Conditional Probability Tables in Hybrid Bayesian Networks Using Binary Factorization," IEEE Transactions on Knowledge and Data Engineering, vol. 24, no. 7, pp. 13061312, July, 2012.  
BibTex  x  
@article{ 10.1109/TKDE.2011.87, author = {N. Fenton and Xiaoli Chen and M. Neil}, title = {Optimizing the Calculation of Conditional Probability Tables in Hybrid Bayesian Networks Using Binary Factorization}, journal ={IEEE Transactions on Knowledge and Data Engineering}, volume = {24}, number = {7}, issn = {10414347}, year = {2012}, pages = {13061312}, doi = {http://doi.ieeecomputersociety.org/10.1109/TKDE.2011.87}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }  
RefWorks Procite/RefMan/Endnote  x  
TY  JOUR JO  IEEE Transactions on Knowledge and Data Engineering TI  Optimizing the Calculation of Conditional Probability Tables in Hybrid Bayesian Networks Using Binary Factorization IS  7 SN  10414347 SP1306 EP1312 EPD  13061312 A1  N. Fenton, A1  Xiaoli Chen, A1  M. Neil, PY  2012 KW  tree data structures KW  approximation theory KW  belief networks KW  computational complexity KW  pattern clustering KW  software packages KW  statistical distributions KW  unfactorized models KW  conditional probability tables KW  binary factorization KW  computational complexity KW  junction tree structure KW  BN nodes KW  time exponential complexity KW  cluster size KW  CPT KW  approximation algorithm KW  dynamic discretization KW  arithmetical expressions KW  deterministic functions KW  statistical distributions KW  hybrid Bayesian network software package KW  Clustering algorithms KW  Algorithm design and analysis KW  Heuristic algorithms KW  Inference algorithms KW  Approximation algorithms KW  Bayesian methods KW  Junctions KW  dynamic discretization. KW  Bayesian networks KW  binary factorization VL  24 JA  IEEE Transactions on Knowledge and Data Engineering ER   
[1] J. Pearl, Probabilistic Reasoning in Intelligent Systems: Network of Plausible Inference. Morgan Kaufmann Publishers, 1988.
[2] D.J. Speigelhalter and R.J. Cowell, "Learning in Probabilistic Expert Systems," Bayesian Statistics, vol. 4, pp. 447465, 1992.
[3] M. Neil, N.E. Fenton, S. Forey, and R. Harris, "Using Bayesian Belief Networks to Predict the Reliability of Military Vehicles," Computing and Control Eng. J., vol. 12, no. 1, pp. 1120, 2001.
[4] M. Neil, M. Tailor, D. Marquez, N. Fenton, and P. Hearty, "Modelling Dependable Systems Using Hybrid Bayesian Networks," Reliability Eng. and System Safety, vol. 93, no. 7, pp. 933939, http://dx.doi.org/10.1016j.ress.2007.03.009 , July 2008.
[5] M. Neil, N. Fenton, and M. Tailor, "Using Bayesian Networks to Model Expected and Unexpected Operational Losses," Risk Analysis J., vol. 25, pp. 963972, Aug. 2005.
[6] R.J. Cowell, R.J. Verral, and Y.K. Yoon, "Modelling Operational Risk with Bayesian Networks," The J. Risk and Insurance, vol. 74, no. 4, pp 795827, 2006.
[7] F.V. Jensen, An Introduction to Bayesian Networks. UCL Press, 1996.
[8] S.L. Lauritzen and D.J. Spiegelhalter, "Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems (with Discussion)," J. Royal Statistical Soc. Series B, vol. 50, no 2, pp. 157224, 1988.
[9] www.agenarisk.com, 2010.
[10] M. Neil, N.M. Nielson, F. Fenton, and X. Nielson, "Building LargeScale Bayesian Networks," The Knowledge Eng. Rev., vol. 15, no. 3, pp. 257284, 2000.
[11] P. Shenoy and G. Shafer, "Propagating Belief Functions with Local Computations," IEEE Expert, vol. E1, no. 3, pp. 4352, Sept. 1986.
[12] F. Jensen, S.L. Lauritzen, and K. Olesen, "Bayesian Updating in Recursive Graphical Models by Local Computations," Computational Statistics Quarterly, vol. 4, pp. 260282, 1990.
[13] M. Neil, M. Tailor, and D. Marquez, "Inference in Bayesian Networks Using Dynamic Discretization," Statistics and Computing, vol. 17, no. 3, pp. 219233, Sept. 2007.
[14] B. Das, "Generating Conditional Probabilities for Bayesian Networks: Easing the Knowledge Acquisition Problem," Computing Research Repository, vol. cs.AI/0411034, http://arxiv.org/abs/cs0411034, 2004.
[15] A. Choi, H. Chan, and A. Darwiche, "On Bayesian Network Approximation by Edge Deletion," Proc. 21st Conf. Uncertainly in Artificial Intelligence, 2005.
[16] N. Fenton, M. Neil, and J. Gabaiiero, "Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks," IEEE Trans. Knowledge and Data Eng., vol. 19, no. 10, pp. 14201432, Oct. 2007.
[17] N. Zhang and D. Poole, "Exploiting Causal Independence in Bayesian Network Inference," J. Artificial Intelligence Research, vol. 5, pp. 301328, 1996.
[18] F. Jensen, Bayesian Networks and Decision Graphs. Springer Verlag, 2007.
[19] B. Cobb and P. Shenoy, "Operations for Inference in Continuous Bayesian Networks with Linear Deterministic Variables," Int'l. J. Approximate Reasoning, vol. 42, nos. 1/2, pp. 2136, 2006.
[20] B. Cobb and P. Shenoy, "Inference in Hybrid Bayesian Networks with Mixtures of Truncated Exponentials," Int'l J. Approximate Reasoning, vol. 41, pp. 257286, 2006, doi:10.1016/j.ijar.2005.06.002.