AN L1-Regularized naïve bayes-inspired classifier for discarding redundant and irrelevant predictors
The naïve Bayes model is a simple but often satisfactory supervised classification method. The original naïve Bayes scheme, does, however, have a serious weakness, namely, the harmful effect of redundant predictors. In this paper, we study how to apply a regularization technique to learn a computati...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2013
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