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Mostrando ítems 11-15 de 15
Artículo
Recent Advances in Energy Time Series Forecasting
(MDPI, 2017)
This editorial summarizes the performance of the special issue entitled Energy Time Series Forecasting, which was published in MDPI’s Energies journal. The special issue took place in 2016 and accepted a total of 21 ...
Artículo
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data
(Elsevier, 2014)
Analyzing microarray data represents a computational challenge due to the characteristics of these data. Clustering techniques are widely applied to create groups of genes that exhibit a similar behavior under the conditions ...
Artículo
Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution
(IOS Press, 2010)
This research presents the mining of quantitative association rules based on evolutionary computation techniques. First, a real-coded genetic algorithm that extends the well-known binary-coded CHC algorithm has been ...
Artículo
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables
(Elsevier, 2015)
Light Detection and Ranging (LiDAR) is a remote sensor able to extract three-dimensional information. Environmental models in forest areas have been benefited by the use of LiDAR-derived information in the last years. A ...
Artículo
Improving a multi-objective evolutionary algorithm to discover quantitative association rules
(Springer, 2015)
This work aims at correcting flaws existing in multi-objective evolutionary schemes to discover quantitative association rules, specifically those based on the wellknown non-dominated sorting genetic algorithm-II (NSGA-II). ...