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Support vector machines
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DOI：10.1177/1536867X1601600407.png)
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Abstract
En 中文
Support vector machines are statistical-and machine-learning techniques with the primary goal of prediction. They can be applied to continuous, binary, and categorical outcomes analogous to Gaussian, logistic, and multinomial regression. We introduce a new command for this purpose, svmachines. This package is a thin wrapper for the widely deployed libsvm (Chang and Lin, 2011, ACM Transactions on Intelligent Systems and Technology 2(3): Article 27). We illustrate svmachines with two examples.
Keywords:
st0461
svmachines
svm
statistical learning
machine learning
support vector machines
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