LIBIRWLS: A parallel IRWLS library for full and budgeted SVMs Articles uri icon

publication date

  • November 2017

start page

  • 183

end page

  • 186

issue

  • 0

volume

  • 136

international standard serial number (ISSN)

  • 0950-7051

electronic international standard serial number (EISSN)

  • 1872-7409

abstract

  • 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.

keywords

  • library; iterative re-weighted least squares; parallel; support vector machines; budgeted