Listar por tema "Feature selection"
Mostrando ítems 1-5 de 5
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Early detection of mechanical damage in mango using NIR hyperspectral images and machine learning
Elsevier (2014-06)Mango fruit are sensitive and can easily develop brown spots after suffering mechanical stress during postharvest handling, transport and marketing. The manual inspection of this fruit used today cannot detect the damage ... -
Effect of Denoising in Band Selection for Regression Tasks in Hyperspectral Datasets
Institute of Electrical and Electronics Engineers (IEEE) (2013)This paper presents a comparative analysis of six band selection methods applied to hyperspectral datasets for biophysical variable estimation problems, where the effect of denoising on band selection performance has ... -
Feature selection in regression tasks using conditional mutual information
Springer (2011)This paper presents a supervised feature selection method applied to regression problems. The selectionmethod uses a Dissimilarity matrix originally developed for classification problems, whose applicability is extended ... -
Mapping microarray gene expression data into dissimilarity spaces for tumor classification
Elsevier (2015-02)Microarray gene expression data sets usually contain a large number of genes, but a small number of samples. In this article, we present a two-stage classification model by combining feature selection with the ... -
Study and Prediction of Air Quality in Smart Cities through Machine Learning Techniques Considering Spatiotemporal Components
Universitat Jaume I (2023-03-07)Air quality is considered one of the top concerns. Information and knowledge about air quality can assist in effectively monitoring and controlling concentrations, reducing or preventing its harmful impacts and consequences. ...