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Improved sparse least-squares support vector machines., and . Neurocomputing, 48 (1-4): 1025-1031 (2002)On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation., and . J. Mach. Learn. Res., (2010)Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters., and . J. Mach. Learn. Res., (2007)Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis., , , and . Deterministic and Statistical Methods in Machine Learning, volume 3635 of Lecture Notes in Computer Science, page 37-55. Springer, (2004)Fast exact leave-one-out cross-validation of sparse least-squares support vector machines., and . Neural Networks, 17 (10): 1467-1475 (2004)Efficient cross-validation of kernel fisher discriminant classifiers., and . ESANN, page 241-246. (2003)Efficient Model Selection for Kernel Logistic Regression., and . ICPR (2), page 439-442. IEEE Computer Society, (2004)The evidence framework applied to sparse kernel logistic regression., and . Neurocomputing, (2005)Heteroscedastic kernel ridge regression., , , , and . Neurocomputing, (2004)Estimating Predictive Variances with Kernel Ridge Regression., , and . MLCW, volume 3944 of Lecture Notes in Computer Science, page 56-77. Springer, (2005)