Experiments on machine learning techniques for sensor fusion (2001)
- Authors:
- USP affiliated authors: REZENDE, SOLANGE OLIVEIRA - ICMC ; CARVALHO, ANDRE C PONCE DE LEON F DE - ICMC
- Unidade: ICMC
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: IEEE Computer Society
- Publisher place: Los Alamitos
- Date published: 2001
- ISBN: 0769513123
- Source:
- Título do periódico: Proceedings
- Conference titles: International Conference on Computational Intelligence and Multimedia Applications
-
ABNT
FACELI, Katti et al. Experiments on machine learning techniques for sensor fusion. 2001, Anais.. Los Alamitos: IEEE Computer Society, 2001. . Acesso em: 24 abr. 2024. -
APA
Faceli, K., Carvalho, A. C. P. de L. F. de, Rezende, S. de O., & International Conference on Computational Intelligence and Multimedia Applications, 4. (2001). Experiments on machine learning techniques for sensor fusion. In Proceedings. Los Alamitos: IEEE Computer Society. -
NLM
Faceli K, Carvalho ACP de LF de, Rezende S de O, International Conference on Computational Intelligence and Multimedia Applications 4. Experiments on machine learning techniques for sensor fusion. Proceedings. 2001 ;[citado 2024 abr. 24 ] -
Vancouver
Faceli K, Carvalho ACP de LF de, Rezende S de O, International Conference on Computational Intelligence and Multimedia Applications 4. Experiments on machine learning techniques for sensor fusion. Proceedings. 2001 ;[citado 2024 abr. 24 ] - Knowledge extraction: a comparison between symbolic and connectionist methods
- Combining intelligent techniques for sensor fusion
- Using symbolic and connectionist algorithms to knowledge acquisition for credit evaluation
- Usando algoritmos simbólicos e conexionistas para avaliação de crédito
- O problema de falência de bancos usando CN2, C4.5 e redes neurais artificiais
- Understanding credit card users'behaviour: a data mining approach
- Combining intelligent techniques for sensor fusion
- Bankruptcy prediction using connectionist and symbolic learning algorithms
- Sistemas inteligentes para fusão de sensores
- Implementação de redes neurais artificiais e algoritmos construtivos como componentes COM
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