Safe and Efficient Screening For Sparse Support Vector Machine
Machine Learning
2013-11-01 v1 Machine Learning
Abstract
Screening is an effective technique for speeding up the training process of a sparse learning model by removing the features that are guaranteed to be inactive the process. In this paper, we present a efficient screening technique for sparse support vector machine based on variational inequality. The technique is both efficient and safe.
Cite
@article{arxiv.1310.8320,
title = {Safe and Efficient Screening For Sparse Support Vector Machine},
author = {Zheng Zhao and Jun Liu},
journal= {arXiv preprint arXiv:1310.8320},
year = {2013}
}