Predicting Multiplayer Online Battle Arena (MOBA) Game Outcome Based on Hero Draft Data
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[1] Atish Agarwala. Learning Dota 2 Team Compositions , 2014 .
[2] Jasper Snoek,et al. Practical Bayesian Optimization of Machine Learning Algorithms , 2012, NIPS.
[3] Zheng Zhang,et al. MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems , 2015, ArXiv.
[4] Jean-Philippe Métivier,et al. Mining Tracks of Competitive Video Games , 2014 .
[5] Peter Romov,et al. Performance of Machine Learning Algorithms in Predicting Game Outcome from Drafts in Dota 2 , 2016, AIST.
[6] Brent E. Harrison,et al. Identifying patterns in combat that are predictive of success in MOBA games , 2014, FDG.
[7] Yoshua Bengio,et al. Random Search for Hyper-Parameter Optimization , 2012, J. Mach. Learn. Res..
[8] Diego Klabjan,et al. Skill-based differences in spatio-temporal team behaviour in defence of the Ancients 2 (DotA 2) , 2014, 2014 IEEE Games Media Entertainment.
[9] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[10] László Grad-Gyenge,et al. On Successful Team Formation: Statistical Analysis of a Multiplayer Online Game , 2013, 2013 IEEE 15th Conference on Business Informatics.
[11] Kaushik Kalyanaraman,et al. To win or not to win ? A prediction model to determine the outcome of a DotA 2 match , 2015 .
[12] D. Perry,et al. How Does He Saw Me ? A Recommendation Engine for Picking Heroes in Dota 2 , 2013 .
[14] Hitoshi Mitomo,et al. Leadership development through online gaming , 2012 .