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Lanczos Approximations for the Speedup of Kernel Partial Least Squares Regression., , and . AISTATS, volume 5 of JMLR Proceedings, page 288-295. JMLR.org, (2009)Stability-Based Model Selection, , , and . NIPS, (2003)The Need for Open Source Software in Machine Learning., , , , , , , , , and 6 other author(s). J. Mach. Learn. Res., (2007)Kernel Analysis of Deep Networks., , and . J. Mach. Learn. Res., (2011)A Resampling Approach to Cluster Validation., , , and . COMPSTAT, page 123-128. Springer, (2002)Kernelizing PLS, degrees of freedom, and efficient model selection., and . ICML, volume 227 of ACM International Conference Proceeding Series, page 441-448. ACM, (2007)The need for open source software in machine learning, , , , , , , , , and . Made available in DSpace on 2010-12-20T06: 05: 49Z (GMT). No. of bitstreams: 1 Sonnenburg\_Need2007. pdf: 1278865 bytes, checksum: 31b77a03c5967cafb7381eee2f47fe56 (MD5) Previous issue date: 2009-05-22T01: 55: 10Z, (2007)When brain and behavior disagree: Tackling systematic label noise in EEG data with machine learning., , , , , , and . BCI, page 1-4. IEEE, (2014)