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Double Sparsity Kernel Learning with Automatic Variable Selection and Data Extraction
Learning in the Reproducing Kernel Hilbert Space (RKHS) has been widely used in many scientific disciplines. Because a RKHS can be very flexible, it is common to impose a regularization term in the optimization to prevent overfitting. Standard RKHS learning employs the squared norm penalty of the le...
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| Publicado no: | Stat Interface |
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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/PMC6168218/ https://ncbi.nlm.nih.gov/pubmed/30294406 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4310/SII.2018.v11.n3.a1 |
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