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Monte Carlo Tree Search-Based Recursive Algorithm for Feature Selection in High-Dimensional Datasets
The complexity and high dimensionality are the inherent concerns of big data. The role of feature selection has gained prime importance to cope with the issue by reducing dimensionality of datasets. The compromise between the maximum classification accuracy and the minimum dimensions is as yet an un...
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| Vydáno v: | Entropy (Basel) |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7597188/ https://ncbi.nlm.nih.gov/pubmed/33286862 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22101093 |
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