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Region of Interest Selection for Functional Features
Feature selection is a critical component in supervised learning to improve model performance. Searching for the optimal feature candidates can be NP-hard. With limited data, cross-validation is widely used to alleviate overfitting, which unfortunately suffers from high computational cost. We propos...
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| Vydáno v: | Neurocomputing |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7641503/ https://ncbi.nlm.nih.gov/pubmed/33162675 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neucom.2020.10.009 |
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