Bayesian Net References Version 4 13 July 2008



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  • Wang, H. and M. J. Druzdel User interface tools for navigation inc onditional probability tables and eliciation of probabilities in Bayesian networks. School of Information Sciences & Intelligent Systems, University of Pittsburgh, PA 15260, www.sis.pitt.edu/

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  • Wang, X. H., B. Zheng, et al. (1999). "Computer-assisted diagnosis of breast cancer using a data-driven Bayesian belief network." Int J Med Inform 54(2): 115-26

  • Wang, Y. H., Y. Li, et al. (2005). "An in silico approach for screening flavonoids as P-glycoprotein inhibitors based on a Bayesian-regularized neural network." J Comput Aided Mol Des 19(3): 137-47

  • Washington, S. and J. Oh (2006). "Bayesian methodology incorporating expert judgment for ranking countermeasure effectiveness under uncertainty: example applied to at grade railroad crossings in Korea." Accid Anal Prev 38(2): 234-47

  • Wasyluk, H., A. Oniśko, et al. (2001). "Support of diagnosis of liver disorders based on a causal Bayesian network model." Med Sci Monit 7 Suppl 1: 327-32

  • Watthayu, W. and Y. Peng (2004). A Bayesian Network Based Framework for Multi-Criteria Decision-Making MCDM 2004. Whistler, B. C. Canada

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  • Wilson, W. I., Y. Peng, et al. (2005). "Comparison of statistical analysis and Bayesian Networks in the evaluation of dissolution performance of BCS Class II model drugs." J Pharm Sci 94(12): 2764-76

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  • Winkler, R. L. (2001). "WHY BAYESIAN ANALYSIS HASN'T CAUGHT ON IN HEALTHCARE DECISION MAKING." International Journal of Technology Assessment in Health Care 17: 56-66

  • Wolbrechte, Bruced'Ambrosio, et al. (2000). Monitoring and diagnosis of a multistage manufacturing process using Bayesian networks. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 14 (1), 53-67.

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  • Wong, W. K., G. Cooper, et al. (2005). "Use of multiple data streams to conduct Bayesian biologic surveillance." MMWR Morb Mortal Wkly Rep 54 Suppl: 63-9

  • Wooff, D. A., M. Goldstein, et al. (2002). Bayesian graphical models for software testing. IEEE Transactions on Software Engineering, 28(5), 510 - 525

  • Wooff, D. A. and J. M. Schneider (2006). "A Bayesian belief network for quality assessment: application to employment officer support." J Intellect Disabil Res 50(Pt 2): 109-26

  • Xiang, Z., R. M. Minter, et al. (2007). "miniTUBA: medical inference by network integration of temporal data using Bayesian analysis." Bioinformatics 23(18): 2423-32

  • Xie, Y., D. Lord, et al. (2007). "Predicting motor vehicle collisions using Bayesian neural network models: an empirical analysis." Accid Anal Prev 39(5): 922-33

  • Xu, M., G. M. Zeng, et al. (2005). "Application of Bayesian regularized BP neural network model for analysis of aquatic ecological data-a case study of chlorophyll-a prediction in Nanzui water area of Dongting Lake." J Environ Sci (China) 17(6): 946-52

  • Yu, J. and X. W. Chen (2005). "Bayesian neural network approaches to ovarian cancer identification from high-resolution mass spectrometry data." Bioinformatics 21 Suppl 1: i487-94

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  • Zhang, R., G. McAllister, et al. (2005). "Coupling wavelet transform with bayesian network to classify auditory brainstem responses." Conf Proc IEEE Eng Med Biol Soc 7: 7568-71

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  • Zhu, W., J. Yan, et al. (2006). "Application of Bayesian network in syndrome differentiation system of traditional Chinese medicine." Zhong Xi Yi Jie He Xue Bao 4(6): 567-71

  • Ziv, H. and D. J. Richardson (1997). Bayesian-network confirmation of software testing uncertainties. ESEC

  • Zou, M. and S. Conzen (2005). "A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data." Bioinformatics 21(1): 71-9

  • Zweig, G. (1998). Speech Recognition with Dynamic Bayesian Networks, University of California at Berkeley. PhD http://www.icsi.berkeley.edu/ftp/global/pub/speech/papers/zweig_thesis.pdf.


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