Hyperspectral imaging fully portrays materials through numerous and contiguous spectral bands. It is a very useful technique in various fields, including astronomy, medicine, food safety, forensics, ...

R scripts for RF and RBF-SVM for Acute Myeloid Leukemia subtypes multiclass classification using gene expression profiles. LASSO feature selection, SMOTE sampling, 10-fold cross-validation, variable ...

From Figure 11B, the actual position tracking curve under SVM-RBF control partially overlapped with the expected position tracking curve, and the fluctuation range of the actual position tracking ...

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...

Machine learning models have significantly enriched the toolbox in the field of neuroimaging analysis. Among them, Support Vector Machines (SVM) have been one of the most popular models for supervised ...

--- title: "Creating a simple binary SVM classifier with Python and Scikit-learn" date: "2020-05-03" categories: - "frameworks" - "svms" tags: - "classification" - "classifier" - "python" - ...