Hybrid classification algorithms based on boosting and support vector machines (2008)
- Authors:
- USP affiliated author: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC
- School: ICMC
- DOI: 10.1108/03684920810907814
- Subject: CIÊNCIA DA COMPUTAÇÃO
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Kybernetes : the international journal of systems & Cybernetics
- ISSN: 0368-492X
- Volume/Número/Paginação/Ano: v. 37, n. 9, p. 1469-1491, 2008
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MAIA, Thiago Turchetti e BRAGA, Antonio Padua e CARVALHO, André Carlos Ponce de Leon Ferreira. Hybrid classification algorithms based on boosting and support vector machines. Kybernetes : the international journal of systems & Cybernetics, v. 37, n. 9, p. 1469-1491, 2008Tradução . . Disponível em: http://www.emeraldinsight.com/Insight/viewPDF.jsp?contentType=Article&Filename=html/Output/Published/EmeraldFullTextArticle/Pdf/0670370934.pdf. Acesso em: 02 jul. 2022. -
APA
Maia, T. T., Braga, A. P., & Carvalho, A. C. P. de L. F. (2008). Hybrid classification algorithms based on boosting and support vector machines. Kybernetes : the international journal of systems & Cybernetics, 37( 9), 1469-1491. doi:10.1108/03684920810907814 -
NLM
Maia TT, Braga AP, Carvalho ACP de LF. Hybrid classification algorithms based on boosting and support vector machines [Internet]. Kybernetes : the international journal of systems & Cybernetics. 2008 ; 37( 9): 1469-1491.[citado 2022 jul. 02 ] Available from: http://www.emeraldinsight.com/Insight/viewPDF.jsp?contentType=Article&Filename=html/Output/Published/EmeraldFullTextArticle/Pdf/0670370934.pdf -
Vancouver
Maia TT, Braga AP, Carvalho ACP de LF. Hybrid classification algorithms based on boosting and support vector machines [Internet]. Kybernetes : the international journal of systems & Cybernetics. 2008 ; 37( 9): 1469-1491.[citado 2022 jul. 02 ] Available from: http://www.emeraldinsight.com/Insight/viewPDF.jsp?contentType=Article&Filename=html/Output/Published/EmeraldFullTextArticle/Pdf/0670370934.pdf - 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
- 'S POT.2' FS: single score feature selection applied to the problem of distinguishing long non-coding RNAs from protein coding transcripts
Informações sobre o DOI: 10.1108/03684920810907814 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas