The theoretical discussion in the previous chapter establishes that the error of an outlier detector can be decomposed into the squared bias and the variance. Ensemble methods attempt to reduce the overall error by reducing either the squared bias or the variance.
CITATION STYLE
Aggarwal, C. C., & Sathe, S. (2017). Variance Reduction in Outlier Ensembles. In Outlier Ensembles (pp. 75–161). Springer International Publishing. https://doi.org/10.1007/978-3-319-54765-7_3
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