A tutorial on support vector machine-based methods for classification problems in chemometrics.

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Analytical Methods in Untargeted Metabolomics: State of the Art in 2015 (2015, methodology): “Support vector machines (SVMs) are another class of supervised analysis methods to build classifiers based on metabolomic data (Mahadevan et al., 2008; Kim et al., 2010; Luts et al., 2010).”
Risk group detection and survival function estimation for interval coded survival methods (2013, background): “1 Introduction Methods within artificial intelligence and machine learning [1–4] have proved their use in many domains, including clustering, classification, regression [5] and prognosis [6–9].”