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Sparse Nonparametric Regression With Regularized Tensor Product Kernel
With growing interest to use black-box machine learning for complex data with many feature variables, it is critical to obtain a prediction model that only depends on a small set of features to maximize generalizability. Therefore, feature selection remains to be an important and challenging problem...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Stat (Int Stat Inst) |
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| Κύριοι συγγραφείς: | , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
2020
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8021131/ https://ncbi.nlm.nih.gov/pubmed/33824723 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sta4.300 |
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