Data from: Mathematical modeling for the prediction of cerebral white matter lesions based on clinical examination data

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2016-2017;cerebral white matter lesions;clinical examination data;mathematical modeling;Homo Sapiens

DOI：

doi:10.5061/dryad.73bh2q8

摘要：

ar discriminant analysis, logistic discrimination, Naive Bayes classifier, support vector machine, and random forest were investigated and evaluated by ten-fold cross-validation, usi

Data from: Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site

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Radiomics;comparison;texture;classifiers;Machine Learning;medical imaging

DOI：

doi:10.5061/dryad.026cj63

摘要：

-weighted (T2w) MRI. Methods: 12 different supervised classifier schemes: Quadratic Discriminant Analysis (QDA), Support Vector Machines

Land cover change maps for Mato Grosso State in Brazil: 2001-2016, links to files, supplement to: Picoli, Michelle; Camara, Gilberto; Sanches, Ieda

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File content File name File format File size Uniform resource locator\/link to file Multiple investigations

DOI：

doi:10.1594/pangaea.881291

摘要：

for a support vector machine classifier. The classes include natural and human-transformed land areas, discriminating among different agricultural crops in state of Ma