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Spectral methods in machine learning and new strategies for very large datasets
Spectral methods are of fundamental importance in statistics and machine learning, because they underlie algorithms from classical principal components analysis to more recent approaches that exploit manifold structure. In most cases, the core technical problem can be reduced to computing a low-rank...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2626709/ https://ncbi.nlm.nih.gov/pubmed/19129490 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.0810600105 |
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