Files in this item
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application/pdf ![]() | 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Publication Status: | unpublished |
Peer Reviewed: | not peer reviewed |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 |