WP-GBDT: An Approach for Winner Prediction using Gradient Boosting Decision Tree

Author:

Xiao Haitao,Liu Yuling,Du Dan,Lu Zhigang

Publisher

IEEE

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Predicting Player Performance in Tactical Games with the Lightgbm Algorithm;2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW);2023-07

2. A Fast Gradient Boosting Based Approach for Predicting Frags in Tactic Games;2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW);2023-07

3. Predicting Frags in Tactic Games at KnowledgePit.ai: ICME 2023 Grand Challenge Report;2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW);2023-07

4. A Semisupervised Approach to Predicting a Twitch Streamer’s Growth based on the Game Streamed;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

5. An Approach for Predicting the Costs of Forwarding Contracts using Gradient Boosting;Annals of Computer Science and Information Systems;2022-09-26

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