Machine Learning Algorithms: Comprehensive Definitions
Classified in Computers
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Support Vector Machines (SVM)
A support vector machine is a supervised method for classification or regression that seeks a boundary in a high-dimensional space which separates classes with the widest possible margin. The training process involves choosing a boundary that maximizes the distance to the nearest training points, known as support vectors. When data are not perfectly separable, slack variables can be introduced to allow some misclassifications or margin violations while balancing margin maximization and classification accuracy. A kernel is a special function that effectively maps data into higher-dimensional spaces without doing the mapping explicitly; it lets the support vector machine handle nonlinear relationships by measuring... Continue reading "Machine Learning Algorithms: Comprehensive Definitions" »