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MOTiFS: Monte Carlo Tree Search Based Feature Selection
Given the increasing size and complexity of datasets needed to train machine learning algorithms, it is necessary to reduce the number of features required to achieve high classification accuracy. This paper presents a novel and efficient approach based on the Monte Carlo Tree Search (MCTS) to find...
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| Pubblicato in: | Entropy (Basel) |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7512904/ https://ncbi.nlm.nih.gov/pubmed/33265475 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20050385 |
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