kerndwd: Distance Weighted Discrimination (DWD) and Kernel Methods

A novel implementation that solves the DWD and the kernel DWD which can be hundred times faster than the existing implementation of DWD based on the second-order-cone programming (SOCP). The package also handles some other general loss functions including large-margin unified machines (LUM).

Install the latest version of this package by entering the following in R:
AuthorBoxiang Wang <>, Hui Zou <>
Date of publication2015-10-01 23:51:22
MaintainerBoxiang Wang <>

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