Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Daniel S. A. de Araujo"'
Autor:
Daniel S. A. de Araujo, Bruno M. S. Wanderley, Adrião Duarte Dória Neto, Elionai Moura Cordeiro
Publikováno v:
2017 International Conference on Computational Science and Computational Intelligence (CSCI).
This paper shows the results of a methodology proposal for bacterioplankton identification using a machine learning approach named SVM. Samples used were taken from 19 high elevated lakes located at Pyrenees Mountains. Samples generated 74 databases
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a80ed38733cc6c66454f4e1c833c909
https://doi.org/10.1109/csci.2017.222
https://doi.org/10.1109/csci.2017.222
Autor:
Marcilio C. P. de Souto, Shirlly C. M. Silva, Raul Benites Paradeda, Valmar S. Severiano Sobrinho, Daniel S. A. de Araujo
Publikováno v:
Anais do 7. Congresso Brasileiro de Redes Neurais.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4aa4a7bae615f4d43af43bd450517abb
https://doi.org/10.21528/cbrn2005-209
https://doi.org/10.21528/cbrn2005-209
Publikováno v:
Neurocomputing. 72:2763-2774
In this paper, we present an algorithm for cluster analysis that integrates aspects from cluster ensemble and multi-objective clustering. The algorithm is based on a Pareto-based multi-objective genetic algorithm, with a special crossover operator, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d39e1b0a88c9a0672f0f46322b477ec6
https://doi.org/10.1016/j.neucom.2008.09.025
https://doi.org/10.1016/j.neucom.2008.09.025
Publikováno v:
Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..
Ensemble techniques have been successfully applied in the context of supervised learning to increase the accuracy and stability of classification. Recently, similar techniques have been proposed for clustering algorithms. In this context, we analyze
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16cb09b35cd7c5bf25e491683cde03ec
https://doi.org/10.1109/ijcnn.2005.1555879
https://doi.org/10.1109/ijcnn.2005.1555879
Publikováno v:
IJCNN
The classification of different types of cancer, historically, depended on efforts by the biologists that tried to establish, based on assumptions, the subtypes of a given tumor. However, up to now, there is no well-grounded methodology that aids to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::564d5af9f1f4c3b8795d3ccd0026c5bc
https://doi.org/10.1109/ijcnn.2006.246990
https://doi.org/10.1109/ijcnn.2006.246990
Autor:
Daniel S. A. de Araujo, Marcilio C. P. de Souto, Raul Benites Paradeda, Valmar S. Severiano-Sobrinho, Shirlly C. M. Silva
Publikováno v:
AI 2005: Advances in Artificial Intelligence ISBN: 9783540304623
Australian Conference on Artificial Intelligence
Australian Conference on Artificial Intelligence
Exploratory data analysis and, in particular, data clustering can significantly benefit from combining multiple data partitions – cluster ensemble. In this context, we analyze the potential of applying cluster ensemble techniques to gene expression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c7c4bfe571c30632478cdc19d0850be
https://doi.org/10.1007/11589990_113
https://doi.org/10.1007/11589990_113
