Support Vector Machines
2016 ◽
Vol 16
(4)
◽
pp. 917-937
◽
Keyword(s):
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.
2019 ◽
Vol 8
(3)
◽
pp. 4500-4502
2019 ◽
Vol 8
(4)
◽
pp. 5813-5816
2012 ◽
Vol 2
(5)
◽
pp. 269-272
◽
2012 ◽
Vol 335
(10-11)
◽
pp. 680-686
◽
2019 ◽
Vol 4
(2)
◽
pp. 12-16
◽
2018 ◽
Vol 7
(2.8)
◽
pp. 684
◽