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	Yang, Yu     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 2 of 2 reviews       Learning Bayesian network parameters from small data sets Guo Z., Gao X., Ren H., Yang Y., Di R., Chen D. International Journal of Approximate Reasoning 91 22-35, 2017.  Type: Article Bayesian networks (BNs) represent a powerful statistical tool for uncertainty analysis with applications in many areas, for example, medical diagnosis. Since data is often not sufficiently available to accurately learn the parameters o...... Mar 12 2018     On semismooth Newton’s methods for total variation minimization Ng M., Qi L., Yang Y., Huang Y. Journal of Mathematical Imaging and Vision 27(3): 265-276, 2007.  Type: Article Ng et al. present a generalization of a theorem proven by A. Chambolle [1], where an L2 regularization of the total variation norm (minu TV(u) + 1/2&lgr...... Jan 2 2008
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