eXplainable Ensemble Strategy using distinct and restrict learning biases: A case study on the Brazilian Forest-Reference-Cited by-同舟云学术

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eXplainable Ensemble Strategy using distinct and restrict learning biases: A case study on the Brazilian Forest

Published:2023-02 Issue: Volume:134 Page:109976
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Rios Tatiane Nogueira,Rios Ricardo^ORCID,Mello Rodrigo

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Google

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Elsevier BV

Subject

Software

Reference51 articles.

1. The Nature of Statistical Learning Theory;Vapnik,1995

2. Machine Learning - a Practical Approach on the Statistical Learning Theory;de Mello,2018

3. Random forests;Breiman;Mach. Learn.,2001

4. Greedy function approximation: a gradient boosting machine;Friedman;Ann. Statist.,2001

5. Monitoring global changes in biodiversity and climate essential as ecological crisis intensifies;O’Connor;Ecol. Inform.,2020

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