Olindda: a cluster-based approach for detecting novelty and concept drift in data streams (2007)
- Authors:
- Autor USP: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC
- Unidade: ICMC
- Assunto: COMPUTAÇÃO BIOINSPIRADA
- Language: Inglês
- Imprenta:
- ISBN: 159593480-4
- Source:
- Título do periódico: Proceedings
- Conference titles: Annual ACM Symposium on Applied Computing'2007
-
ABNT
SPINOSA, Eduardo J.; CARVALHO, André Carlos Ponce de Leon Ferreira; GAMA, João. Olindda: a cluster-based approach for detecting novelty and concept drift in data streams. Anais.. New York: ACM, 2007. -
APA
Spinosa, E. J., Carvalho, A. C. P. de L. F., & Gama, J. (2007). Olindda: a cluster-based approach for detecting novelty and concept drift in data streams. In Proceedings. New York: ACM. -
NLM
Spinosa EJ, Carvalho ACP de LF, Gama J. Olindda: a cluster-based approach for detecting novelty and concept drift in data streams. Proceedings. 2007 ; -
Vancouver
Spinosa EJ, Carvalho ACP de LF, Gama J. Olindda: a cluster-based approach for detecting novelty and concept drift in data streams. Proceedings. 2007 ; - 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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