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LIBIRWLS: A parallel IRWLS library for full and budgeted SVMs

机译:LIBIRWLS:用于完整和预算的SVM的并行IRWLS库

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摘要

We present LIBIRWLS, a library that incorporates a parallel implementation of the Iterative Re-Weighted Least Squares (IRWLS) procedure, an alternative to quadratic programming (QP), for training of Support Vector Machines (SVMs). Although there are several methods for SVM training, the number of parallel libraries is very reduced. In particular, this library contains solutions to solve either full or budgeted SVMs making use of shared memory parallelization techniques. (C) 2017 Elsevier B.V. All rights reserved.
机译:我们介绍LIBIRWLS,该库结合了迭代加权最小二乘(IRWLS)过程的并行实现,它是二次编程(QP)的替代方法,用于训练支持向量机(SVM)。尽管有几种支持SVM的方法,但并行库的数量却大大减少了。特别是,该库包含使用共享内存并行化技术解决完整或预算SVM的解决方案。 (C)2017 Elsevier B.V.保留所有权利。

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