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Prediction-based Termination Rule for Greedy Learning with Massive Data
The appearance of massive data has become increasingly common in contemporary scientific research. When sample size n is huge, classical learning methods become computationally costly for the regression purpose. Recently, the orthogonal greedy algorithm (OGA) has been revitalized as an efficient alt...
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| Publicado no: | Stat Sin |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4856170/ https://ncbi.nlm.nih.gov/pubmed/27158214 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5705/ss.202014.0068 |
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