Abstract
In this chapter, the support vector machines (svm) methods are studied. We first point out the origin and popularity of these methods and then we define the hyperplane concept which is the key for building these methods. We derive methods related to svm: the maximum...
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CITATION STYLE
APA
Montesinos López, O. A., Montesinos López, A., & Crossa, J. (2022). Support Vector Machines and Support Vector Regression. In Multivariate Statistical Machine Learning Methods for Genomic Prediction (pp. 337–378). Springer International Publishing. https://doi.org/10.1007/978-3-030-89010-0_9
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