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Recent Additions:

O. Schulte, W. Luo, R. Greiner. "Mind Change Optimal Learning of Bayes Net Structure from Dependency and Independency Data". Information and Computation, 208(1), pp 63--82, March 2010. view
A. Kerhet, C. Small, H. Quon, T. Riauka, L. Schrader, R. Greiner, D. Yee, A. McEwan, W. Rao. "Application of Machine Learning Methodology for PET-Based Definition of Lung Cancer". Current Oncology, 17(1), pp 41-46, July 2010. view
D. Lizotte, R. Greiner, D. Schuurmans. "An Experimental Methodology for Response Surface Optimization Methods". Journal of Global Optimization, 53(4), pp 699-736, June 2012. view
I. Diaz, P. Boulanger, R. Greiner, A. Murtha. "A critical review of the effects of de-noising algorithms on MRI brain tumor segmentation". IEEE Engineering in Medicine and Biology Society Conference, September 2011. view
S. Ravanbakhsh, B. Poczos, R. Greiner. "Boolean matrix factorization and noisy completion via message passing". International Conference on Machine Learning (ICML), June 2016. view
R. Greiner. "A prognostic model to predict overall survival for patients with metastatic castration-resistant prostate cancer: results from a crowdsourced challenge using retrospective, open clinical trial data". Lancet Oncology, December 2016. view

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