Computer Science ›› 2006, Vol. 33 ›› Issue (4): 159-161.

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GU Ping, ZHU Qing Sheng (College of Computer Science and Engineering, Chongqing University, Chongqing 400044)   

  • Online:2018-11-17 Published:2018-11-17

Abstract: In situation where data is being generated continuously, storing large amounts of data is impractical for Boosting and Bagging algorithms. In this paper, we present a parallelizable Bayesian ensemble online learning algorithm (BEPOL), which follow the met

Key words: Bayesian classifier, Ensemble, Online-learning

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