Author:
Wistuba Martin,Schmidt-Thieme Lars
Publisher
Springer Berlin Heidelberg
Reference13 articles.
1. Lecture Notes in Artificial Intelligence;L. Kocsis,2006
2. Gelly, S., Wang, Y.: Exploration exploitation in Go: UCT for Monte-Carlo Go. In: NIPS: Neural Information Processing Systems Conference On-line trading of Exploration and Exploitation Workshop, Canada (December 2006)
3. Stern, D., Herbrich, R., Graepel, T.: Bayesian Pattern Ranking for Move Prediction in the Game of Go. In: ICML 2006: Proceedings of the 23rd International Conference on Machine Learning, pp. 873–880. ACM Press, New York (2006)
4. Wistuba, M., Schaefers, L., Platzner, M.: Comparison of Bayesian Move Prediction Systems for Computer Go. In: CIG, pp. 91–99. IEEE (2012)
5. Rendle, S.: Factorization Machines. In: 2010 IEEE 10th International Conference on Data Mining (ICDM), pp. 995–1000 (2010)
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