An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
Impact in
Classified as
- Authors
- Ron Kohavi
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- Machine Learning
In The Last Decade
doi.org/10.1023/a:1007515423169 →Countries where authors are citing An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
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About An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
This paper, published in 1999, received 1.8k indexed citations . Written by Ron Kohavi covering the research area of Artificial Intelligence and Statistics and Probability. It is primarily cited by scholars working on Artificial Intelligence (1.0k citations), Computer Vision and Pattern Recognition (364 citations), Information Systems (264 citations), Molecular Biology (137 citations) and Signal Processing (129 citations). Published in Machine Learning.
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This paper is also available at doi.org/10.1023/a:1007515423169.