IEEE Transactions on Neural Networks and Learning Systems· 2012Q1
$L_{1/2}$ Regularization: A Thresholding Representation Theory and a Fast Solver
- 1,072citations
- Q1SCImago
- 2012year
Short summary
A new iterative half thresholding algorithm solves the challenging $L_{1/2}$ regularization problem, demonstrating its effectiveness and efficiency compared to $L_1$ regularization.
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Computational MechanicsEngineering