Minimum spanning trees in hierarchical multiclass support vector machines generation (2005)
- Authors:
- Autor USP: CARVALHO, ANDRE CARLOS PONCE DE LEON FERREIRA DE - ICMC
- Unidade: ICMC
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: Springer
- Publisher place: Heidelberg
- Date published: 2005
- Source:
- Título do periódico: Lectures Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 3533
- Conference titles: Innovations in Applied Artificial Intelligence: 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2005, Proceedings
-
ABNT
LORENA, Ana Carolina; CARVALHO, André Carlos Ponce de Leon Ferreira. Minimum spanning trees in hierarchical multiclass support vector machines generation. Lectures Notes in Computer Science[S.l: s.n.], 2005. -
APA
Lorena, A. C., & Carvalho, A. C. P. de L. F. (2005). Minimum spanning trees in hierarchical multiclass support vector machines generation. Lectures Notes in Computer Science. Heidelberg: Springer. -
NLM
Lorena AC, Carvalho ACP de LF. Minimum spanning trees in hierarchical multiclass support vector machines generation. Lectures Notes in Computer Science. 2005 ; 3533 -
Vancouver
Lorena AC, Carvalho ACP de LF. Minimum spanning trees in hierarchical multiclass support vector machines generation. Lectures Notes in Computer Science. 2005 ; 3533 - Simulador multi-threads de redes neurais ontogênicas orientado a objetos
- Learning strategies to train 'GSNPOT.f'neural networks
- Using a neural network in a case based reasoning system
- Parallel implementation of RAM-based neural networks
- Aplicacoes de redes neurais na industria, comercio e medicina
- Recognition of vehicles silhouete using combination of classifiers
- Combinação de classificadores para o reconhecimento de alvos
- Automatic target recognition using a constructive approach
- Progressive learning algorithm for GSN feedfoward neural architectures
- Reconhecimento de imagens utilizando redes neurais-Projeto Sapri
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