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Accelerated Stochastic Power Iteration
Principal component analysis (PCA) is one of the most powerful tools in machine learning. The simplest method for PCA, the power iteration, requires [Formula: see text] full-data passes to recover the principal component of a matrix with eigen-gap Δ. Lanczos, a significantly more complex method, ach...
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| Publicado no: | Proc Mach Learn Res |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6557638/ https://ncbi.nlm.nih.gov/pubmed/31187095 |
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