1. Alpaydin, E.: Introduction to Machine Learning. MIT Press, Cambridge (2004)
2. Bach, F.: Sharp analysis of low-rank kernel matrix approximations. In: Proceedings of the 26th Annual Conference on Learning Theory (COLT), pp. 185–209 (2013)
3. Bartlett, P.L., Boucheron, S., Lugosi, G.: Model selection and error estimation. Machine Learning 48(1–3), 85–113 (2002)
4. Bartlett, P., Mendelson, S.: Rademacher and Gaussian complexities: Risk bounds and structural results. Journal of Machine Learning Research 3, 463–482 (2002)
5. Cawley, G., Talbot, N.: On over-fitting in model selection and subsequent selection bias in performance evaluation. Journal of Machine Learning Research 11, 2079–2107 (2010)