Selection of regularization model for linear regression under high-dimensional data

Author:

Ma Tingjun1ORCID,Zhou Changyin1ORCID

Affiliation:

1. College of Mathematics and Systems Science, Shandong University of Science and Technology, China

Publisher

ACM

Reference15 articles.

1. Sparsity and smoothness via the fused lasso

2. Hui Z , Hastie T. Regularization and variable selection via the elastic net[J]. Journal of the Royal Statistical Society , 2005 , 67 ( 5 ). Hui Z, Hastie T. Regularization and variable selection via the elastic net[J]. Journal of the Royal Statistical Society, 2005, 67(5).

3. The Adaptive Lasso and Its Oracle Properties

4. On the adaptive elastic-net with a diverging number of parameters

5. Ghaoui L E , Viallon V , Rabbani T. Safe Feature Elimination in Sparse Supervised Learning[J]. Pacific Journal of Optimization , 2010 , 8 ( 4 ). Ghaoui L E, Viallon V, Rabbani T. Safe Feature Elimination in Sparse Supervised Learning[J]. Pacific Journal of Optimization, 2010, 8(4).

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