Bioinspired parameter tuning of MLP networks for gene expression analysis: quality of fitness estimates vs. number of solutions analysed (2009)
- Authors:
- Autor USP: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC
- Unidade: ICMC
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: Springer
- Publisher place: Heidelberg
- Date published: 2009
- Source:
- Título: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 5507, p. 252-259, 2009
- Conference titles: International Conference - ICONIP 2008
-
ABNT
ROSSI, André L. D. e SOARES, Carlos e CARVALHO, André Carlos Ponce de Leon Ferreira de. Bioinspired parameter tuning of MLP networks for gene expression analysis: quality of fitness estimates vs. number of solutions analysed. Lecture Notes in Computer Science. Heidelberg: Springer. Disponível em: http://www.springerlink.com/content/y773013424501412. Acesso em: 12 fev. 2026. , 2009 -
APA
Rossi, A. L. D., Soares, C., & Carvalho, A. C. P. de L. F. de. (2009). Bioinspired parameter tuning of MLP networks for gene expression analysis: quality of fitness estimates vs. number of solutions analysed. Lecture Notes in Computer Science. Heidelberg: Springer. Recuperado de http://www.springerlink.com/content/y773013424501412 -
NLM
Rossi ALD, Soares C, Carvalho ACP de LF de. Bioinspired parameter tuning of MLP networks for gene expression analysis: quality of fitness estimates vs. number of solutions analysed [Internet]. Lecture Notes in Computer Science. 2009 ; 5507 252-259.[citado 2026 fev. 12 ] Available from: http://www.springerlink.com/content/y773013424501412 -
Vancouver
Rossi ALD, Soares C, Carvalho ACP de LF de. Bioinspired parameter tuning of MLP networks for gene expression analysis: quality of fitness estimates vs. number of solutions analysed [Internet]. Lecture Notes in Computer Science. 2009 ; 5507 252-259.[citado 2026 fev. 12 ] Available from: http://www.springerlink.com/content/y773013424501412 - Gabinete pequeno é destaque de pc itautec
- New data strucutre and spanning forest operators for evolutionay algorithms
- Metalearning for context-aware filtering: selection of tensor factorization algorithms
- Evolutionary tuning of SVM parameter values in multiclass problems
- Dimensionality reduction for the algorithm recommendation problem
- Making data stream classification tree-based ensembles lighter
- A study of biclustering coherence measures for gene expression data
- Anomaly detection through temporal abstractions on intensive care data: position paper
- CF4CF: recommending collaborative filtering algorithms using collaborative filtering
- A machine learning-based approach for prediction of plant protection product deposition
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
