All of the following are the common strategies to alleviate (i.e. reduce) over-fitting except O Using singular value decomposition (SVD) in principal component analysis (PCA) instead of the covariance matrix decomposition Limiting the maximum depth of a decision tree Adding regularization terms to the linear regression loss function O Using cross-validation in kNN classification to choose the parameter k

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