Nitesh Chawla, Thomas Moore, Kevin Bowyer, Lawrence Hall, Clayton Springer, and Philip Kegelmeyer. Bagging is a small-data-set phenomenon. In International Conference on Computer Vision and Pattern Recognition (CVPR), 2001. Home/Search Document Details and Download
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Generalization Methods in Bioinformatics - Eschrich, Chawla, Hall (2002) Self-citation (Chawla Hall) (Correct)
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N.V. Chawla, T.E. Moore, K.W. Bowyer, L.O. Hall, W .P. Kegelmeyer, and C. Springer. Bagging is a small dataset phenomenon. In Proceedings of the International Conference of Computer Vision and Pattern Recognition (CVPR),Hawaii, December 2001.
Distributed Pasting of Small Votes - Bowyer (2002) (1 citation) Self-citation (Chawla Moore Bowyer Hall Kegelmeyer) (Correct)
....e#ciently managed on a group of processors. Partitioning the datasets into random, disjoint partitions will not only overcome the issue of exceeding memory size, but will also lead to creating diverse classifiers (each built from a disjoint partition, but the aggregate processing all of the data) [7]. This can result in an improvement in performance that might not be possible by subsampling. To implement this idea, we divide the training set into n disjoint partitions, and then paste Rvote or Ivote respectively [4] on each of the disjoint subsets independently. We call our distributed ....
....improve classifier accuracy [9, 3, 1, 8, 12] According to Breiman, bagging exploits the instability in the classifiers, since perturbing the training set produces di#erent classifiers using the same algorithm. However, creating 30 or more bags of 100 size can be problematic for massive datasets [7]. We observed that for datasets too large to handle practically in the memory of a typical computer, a committee created In pasting Rvotes, each small training set is created by random sampling. In pasting Ivotes, each small training set is created by importance sampling. using disjoint ....
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Chawla, N.V., Moore, T.E., Bowyer, K.W., Hall, L.O., Springer, C., Kegelmeyer, W.P.: Bagging is a small dataset phenomenon. International Conference of Computer Vision and Pattern Recognition (CVPR). (2000) 684 -- 689.
Diversity in Neural Network Ensembles - Brown (2003) (1 citation) (Correct)
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Nitesh Chawla, Thomas Moore, Kevin Bowyer, Lawrence Hall, Clayton Springer, and Philip Kegelmeyer. Bagging is a small-data-set phenomenon. In International Conference on Computer Vision and Pattern Recognition (CVPR), 2001.
Diversity in Neural Network Ensembles - Gavin Brown To (2003) (1 citation) (Correct)
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Nitesh Chawla, Thomas Moore, Kevin Bowyer, Lawrence Hall, Clayton Springer, and Philip Kegelmeyer. Bagging is a small-data-set phenomenon. In International Conference on Computer Vision and Pattern Recognition (CVPR), 2001.
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