I&#x27;ve read two rather old papers on different cross-validation techniques:<p>A Study of CrossValidation and Bootstrap for Accuracy Estimation and Model Selection (1995) <a href="http:&#x2F;&#x2F;robotics.stanford.edu&#x2F;~ronnyk&#x2F;accEst.pdf" rel="nofollow">http:&#x2F;&#x2F;robotics.stanford.edu&#x2F;~ronnyk&#x2F;accEst.pdf</a><p>Improvements on Cross-Validation: The .632+ Bootstrap Method (1997) <a href="http:&#x2F;&#x2F;www.stat.washington.edu&#x2F;courses&#x2F;stat527&#x2F;s13&#x2F;readings&#x2F;EfronTibshirani_JASA_1997.pdf" rel="nofollow">http:&#x2F;&#x2F;www.stat.washington.edu&#x2F;courses&#x2F;stat527&#x2F;s13&#x2F;readings&#x2F;...</a><p>And one on MIMO techniques:<p>V-BLAST: An Architecture for Realizing Very High Data Rates Over the Rich-Scattering Wireless Channel (1998) <a href="http:&#x2F;&#x2F;www.ee.columbia.edu&#x2F;~jiantan&#x2F;E6909&#x2F;wolnianskyandfoschini.pdf" rel="nofollow">http:&#x2F;&#x2F;www.ee.columbia.edu&#x2F;~jiantan&#x2F;E6909&#x2F;wolnianskyandfosch...</a><p>I find it to be a good way to get concise and accessible introductions (with the associated results) to current practices.