Machine Learning Reading Group (MLRG) @ SAIL, USC
Summer 2011 Schedule (3 pm Tuesday in RTH 320)
N. J. Horton and K. P. Kleinman, Much ado about nothing: A comparison of missing data methods ad software to fit incomplete data regression models, The American Statistician, vol. 61, pp. 79-90, February 2007.
Discussion Leader: Naveen Kumar
L. Breiman, Bagging predictors, Machine Learning, vol. 24, pp. 123-140, 1996.
Discussion Leader: Kartik Audhkhasi
E. Candes, An Overview of Compressed Sensing and Sparse Signal Recovery via L1 Minimization, Machine Learning Summer School, 2009.
G. E. P. Box, Science and statistics, Journal of the American Statistical Association, vol. 71, no. 356, pp. 791-799, December 1976.
Discussion Leaders: Mike Proctor, Nassos Katsamanis
Review of current issue of IEEE Transactions on Pattern Analysis and Machine Intelligence.
E. Candes, An Overview of Compressed Sensing and Sparse Signal Recovery via L1 Minimization, Machine Learning Summer School, 2009.
E. Candes, An Overview of Compressed Sensing and Sparse Signal Recovery via L1 Minimization, Machine Learning Summer School, 2009.
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