1. Abdulrahman, S., & Brazdil, P. (2014). Measures for combining accuracy and time for meta-learning. In Proceedings of the international workshop on meta-learning and algorithm selection co-located with 21st European conference on artificial intelligence, MetaSel@ECAI 2014, Prague, Czech Republic, August 19, 2014 (pp. 49–50).
2. Amasyali, M. F., & Ersoy, O. K. (2009). A study of meta learning for regression. Research report, Purdue University. http://docs.lib.purdue.edu/ecetr/386 .
3. Atsushi, I. (1980). Thermostability and aliphatic index of globular proteins. Journal of Biochemistry, 88(6), 1895–1898.
4. Bardenet, R., Brendel, M., Kégl, B., & Sebag, M. (2013). Collaborative hyperparameter tuning. In S. Dasgupta & D. McAllester (Eds.), 30th international conference on machine learning (ICML 2013) (Vol. 28 , pp. 199–207). Acm Press. http://hal.in2p3.fr/in2p3-00907381 .
5. Bensusan, H., & Giraud-Carrier, C. (2000). Casa batló is in passeig de gràcia or landmarking the expertise space. Proceedings of the ECML-00 workshop on meta-learning: Building automatic advice strategies for model selection and method combination (pp. 29–46).