A bias-variance analysis of state-of-the-art random forest text classifiers
- 19 July 2020
- journal article
- research article
- Published by Springer Science and Business Media LLC in Advances in Data Analysis and Classification
- Vol. 15 (2), 379-405
- https://doi.org/10.1007/s11634-020-00409-4
Abstract
No abstract availableKeywords
Funding Information
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Financiadora de Estudos e Projetos
- Fundação de Amparo à Pesquisa do Estado de Minas Gerais
- InWeb
- MASWeb
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