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Error analysis for [Formula: see text] -coefficient regularized moving least-square regression
We consider the moving least-square (MLS) method by the coefficient-based regression framework with [Formula: see text] -regularizer [Formula: see text] and the sample dependent hypothesis spaces. The data dependent characteristic of the new algorithm provides flexibility and adaptivity for MLS. We...
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| Veröffentlicht in: | J Inequal Appl |
|---|---|
| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer International Publishing
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6182408/ https://ncbi.nlm.nih.gov/pubmed/30363815 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13660-018-1856-y |
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