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Author Title Type [ Year(Desc)]
2001
Hastie, T.J. & Zhu, M., 2001. Discussion of "Dimension reduction and visualization in discriminant analysis" by Cook and Yin. Australian and New Zealand Journal of Statistics, 43, pp.179–185.
2003
Zhu, M. & Hastie, T.J., 2003. Feature extraction for nonparametric discriminant analysis. Journal of Computational and Graphical Statistics, 12, pp.101–120. Available at: http://doi.org/10.1198/1061860031220.
2004
Zhu, M. & Lu, A.Y., 2004. The counter-intuitive non-informative prior for the Bernoulli family. Journal of Statistics Education, 12, p.2. Available at: http://doi.org/10.1080/10691898.2004.11910734.
Zhu, M., 2004. On the forward and backward algorithms of projection pursuit. Annals of Statistics, 32, pp.233–244. Available at: http://doi.org/10.1214/aos/1079120135.
2005
Zhu, M., Hastie, T.J. & Walther, G., 2005. Constrained ordination analysis with flexible response functions. Ecological Modelling, 187, pp.524–536. Available at: http://doi.org/10.1016/j.ecolmodel.2005.01.049.
2006
Zhu, M., 2006. Discriminant analysis with common principal components. Biometrika, 93, pp.1018–1024. Available at: http://doi.org/10.1093/biomet/93.4.1018.
Kustra, R., Shioda, R. & Zhu, M., 2006. A factor analysis model for functional genomics. BMC Bioinformatics, 7, p.216. Available at: http://doi.org/10.1186/1471-2105-7-216.
Zhu, M., Su, W. & Chipman, H.A., 2006. LAGO: A computationally efficient approach for statistical detection. Technometrics, 48, pp.193–205. Available at: http://doi.org/10.1198/004017005000000643.
Zhu, M. & Ghodsi, A., 2006. Automatic dimensionality selection from the scree plot via the use of profile likelihood. Computational Statistics & Data Analysis, 51, pp.918–930. Available at: http://doi.org/10.1016/j.csda.2005.09.010.
2007
Zhu, M. et al., 2007. Using machine learning algorithms to guide rehabilitation planning for home care clients. BMC Medical Informatics and Decision Making, 7, p.41. Available at: http://doi.org/10.1186/1472-6947-7-41.
2008
Zhu, M., 2008. How to draw a trilinear plot?. ASA Statistical Computing and Graphics Newsletter, 19, pp.7–9. Available at: http://stat-computing.org/newsletter/issues/scgn-19-1.pdf.
Zhu, M., 2008. Kernels and ensembles: Perspectives on statistical learning. The American Statistician, 62, pp.97–109. Available at: http://doi.org/10.1198/000313008X306367.
Laflamme-Sanders, A. & Zhu, M., 2008. LAGO on the unit sphere. Neural Networks, 21, pp.1220–1223. Available at: http://doi.org/10.1016/j.neunet.2008.08.002.
2010
Zhu, M. & Hastie, T.J., 2010. Letter to the editor. Journal of the American Statistical Association, 105, pp.880–881. Available at: http://doi.org/10.1198/jasa.2010.tm09295.
Gu, H., Kenney, T. & Zhu, M., 2010. Partial generalized additive models: An information-theoretic approach for dealing with concurvity and selecting variables. Journal of Computational and Graphical Statistics, 19, pp.531–551. Available at: http://doi.org/10.1198/jcgs.2010.07139.
Zhu, M., 2010. Predictive analytics: Managing fundamental tradeoffs. Analytics, September-October, 2010, pp.18–21. Available at: http://viewer.zmags.com/publication/b0fd98bd#/b0fd98bd/19.
Hoshino, R., Oldford, R.W. & Zhu, M., 2010. Two-stage approach for unbalanced classification with time-varying decision boundary: Application to marine container inspection. In Proceedings of the ACM SIGKDD Workshop on Intelligence and Security Informatics. pp. 1:1–1:5. Available at: http://doi.org/10.1145/1938606.1938607.
2011
Forbes, P. & Zhu, M., 2011. Content-boosted matrix factorization for recommender systems: Experiments with recipe recommendation. In Proceedings of the 5th ACM Conference on Recommender Systems. pp. 261–264. Available at: http://doi.org/10.1145/2043932.2043979.

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