Performance of Machine Learning Algorithms in Predicting Game Outcome from Drafts in Dota 2
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-52920-2_3
Reference20 articles.
1. Taylor, T.: Raising the Stakes: E-sports and the Professionalization of Computer Gaming. MIT Press, Cambridge (2012)
2. Ontanón, S., Synnaeve, G., Uriarte, A., Richoux, F., Churchill, D., Preuss, M.: A survey of real-time strategy game AI research and competition in starcraft. IEEE Trans. Comput. Intell. AI Games 5(4), 293–311 (2013)
3. Synnaeve, G., Bessiere, P.: A Bayesian model for opening prediction in RTS games with application to StarCraft. In: IEEE Conference on Computational Intelligence and Games (CIG), pp. 281–288. IEEE (2011)
4. Bosc, G., Tan, P., Boulicaut, J.-F., Raissi, C., Kaytoue, M.: A pattern mining approach to study strategy balance in RTS games. IEEE Trans. Comput. Intell. AI Games PP(99), 1–1 (2015)
5. Cavadenti, O., Codocedo, V., Boulicaut, J.-F., Kaytoue, M.: When cyberathletes conceal their game: clustering confusion matrices to identify avatar aliases. In: 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA), pp. 1–10. IEEE, October 2015
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