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A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems

Non-convex sparsity-inducing penalties have recently received considerable attentions in sparse learning. Recent theoretical investigations have demonstrated their superiority over the convex counterparts in several sparse learning settings. However, solving the non-convex optimization problems asso...

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שמור ב:
מידע ביבליוגרפי
Main Authors: Gong, Pinghua, Zhang, Changshui, Lu, Zhaosong, Huang, Jianhua Z., Ye, Jieping
פורמט: Artigo
שפה:Inglês
יצא לאור: 2013
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC4184274/
https://ncbi.nlm.nih.gov/pubmed/25285330
תגים: הוספת תג
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