R. Coulom, Computing Elo ratings of move patterns in the game of Go, Proc. Computer Games Workshop, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00149859

K. Ikeda, T. Shishido, and S. Viennot, Machine-Learning of Shape Names for the Game of Go, Proc. ACG, pp.247-259, 2015.
DOI : 10.1109/CIG.2013.6633625

F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion et al., Scikit-learn: Machine learning in Python, Journal of Machine Learning Research, vol.12, pp.2825-2830, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00650905

D. Silver, A. Huang, C. J. Maddison, A. Guez, L. Sifre et al., Mastering the game of Go with deep neural networks and tree search, Nature, vol.34, issue.7587, pp.484-503, 2006.
DOI : 10.3233/ICG-2011-34302

A. Yoshikawa, T. Kojima, and Y. Saito, Relations between skill and the use of terms ? an analysis of protocols of the game of Go ?, Proc. 1st CG, pp.282-299, 1998.