| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4946041 | Knowledge-Based Systems | 2017 | 4 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Roberto DÃaz-Morales, Ángel Navia-Vázquez,