I've read two rather old papers on different cross-validation techniques: A Study of CrossValidation and Bootstrap for Accuracy Estimation and Model Selection

I've read two rather old papers on different cross-validation techniques: A Study of CrossValidation and Bootstrap for Accuracy Estimation and Model Selection (1995) http://robotics.stanford.edu/~ronnyk/accEst.pdf http://robotics.stanford.edu/~ronnyk/accEst.pdf Improvements on Cross-Validation: The .632+ Bootstrap Method (1997) http://www.stat.washington.edu/courses/stat527/s13/readings/EfronTibshirani_JASA_1997.pdf http://www.stat.washington.edu/courses/stat527/s13/readings/... And one on MIMO techniques: V-BLAST: An Architecture for Realizing Very High Data Rates Over the Rich-Scattering Wireless Channel (1998) http://www.ee.columbia.edu/~jiantan/E6909/wolnianskyandfoschini.pdf http://www.ee.columbia.edu/~jiantan/E6909/wolnianskyandfosch... I find it to be a good way to get concise and accessible introductions (with the associated results) to current practices.