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Convergence rate for the moving least-squares learning with dependent sampling
We consider the moving least-squares (MLS) method by the regression learning framework under the assumption that the sampling process satisfies the α-mixing condition. We conduct the rigorous error analysis by using the probability inequalities for the dependent samples in the error estimates. When...
Gardado en:
| Publicado en: | J Inequal Appl |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Springer International Publishing
2018
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6096915/ https://ncbi.nlm.nih.gov/pubmed/30839554 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13660-018-1794-8 |
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