Files in this item
| Files | Description | Format |
|---|---|---|
|
application/pdf  ParallelLiblinearCharm.pdf (4MB) | Main Article |
Description
| Title: | Solving Very Large Scale Linear SVM Using Multiple Processors |
| Author(s): | Jindal, Prateek; Roth, Dan; Kale, Laxmikant V. |
| Subject(s): | Support Vector Machines
Big Data Analytics Charm++ |
| Abstract: | SVMs have been used for long for data classification. While solving very large problems, one may encounter hundreds of thousands of features and a large number of training vectors. A natural solution to solving problems with large datasets is to use multiple processors. In this report, we discuss the parallel implementation of Liblinear which is a very good sequential tool for using SVMs. |
| Issue Date: | 2013-12-04 |
| Citation Info: | Prateek Jindal, Dan Roth, L.V. Kale. Solving Very Large Scale Linear SVM Using Multiple Processors. Computer Science Research and Tech Reports. UIUC. 2013. |
| Genre: | Technical Report |
| Type: | Text |
| Language: | English |
| URI: | http://hdl.handle.net/2142/46407 |
| Publication Status: | unpublished |
| Peer Reviewed: | not peer reviewed |
| Rights Information: | 2013 by Prateek Jindal |
| Date Available in IDEALS: | 2013-12-04 |