A review on the combination of binary classifiers in multiclass problems (2008)
- Authors:
- USP affiliated author: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC
- School: ICMC
- DOI: 10.1007/s10462-009-9114-9
- Subject: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Artificial Intelligence Review
- ISSN: 02169-2821
- Volume/Número/Paginação/Ano: v.30, n.1-4, p.19-37, dec 2008
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
LORENA, Ana Carolina e CARVALHO, André Carlos Ponce de Leon Ferreira e GAMA, João. A review on the combination of binary classifiers in multiclass problems. Artificial Intelligence Review, v. 30, n. 1-4, p. 19-37, 2008Tradução . . Disponível em: http://www.springerlink.com.w10077.dotlib.com.br/content/100240/. Acesso em: 30 jun. 2022. -
APA
Lorena, A. C., Carvalho, A. C. P. de L. F., & Gama, J. (2008). A review on the combination of binary classifiers in multiclass problems. Artificial Intelligence Review, 30( 1-4), 19-37. doi:10.1007/s10462-009-9114-9 -
NLM
Lorena AC, Carvalho ACP de LF, Gama J. A review on the combination of binary classifiers in multiclass problems [Internet]. Artificial Intelligence Review. 2008 ;30( 1-4): 19-37.[citado 2022 jun. 30 ] Available from: http://www.springerlink.com.w10077.dotlib.com.br/content/100240/ -
Vancouver
Lorena AC, Carvalho ACP de LF, Gama J. A review on the combination of binary classifiers in multiclass problems [Internet]. Artificial Intelligence Review. 2008 ;30( 1-4): 19-37.[citado 2022 jun. 30 ] Available from: http://www.springerlink.com.w10077.dotlib.com.br/content/100240/ - Hybrid classification algorithms based on boosting and support vector machines
- A comparison of hierarchical biclustering ensemble methods
- Unsupervised domain adaptation for human activity recognition
- Recommending collaborative filtering algorithms using subsampling landmarkers
- Fast adaptive stacking of ensembles
- Automatic design of decision-tree induction algorithms
- To tune or not to tune: recommending when to adjust SVM hyper-parameters via meta-learning
- Evolutionary radial basis functions for credit assessment
- Neural networks for hierarchical classification of G-Protein Coupled Receptors
- Multi-label feature selection techniques for hierarchical multi-label protein function prediction
Informações sobre o DOI: 10.1007/s10462-009-9114-9 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
