Project details for LIBLINEAR

Logo JMLR LIBLINEAR 1.32

by biconnect - September 3, 2008, 17:35:24 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

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Description:

LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, L1-loss linear SVM, and multi-class SVM from Crammer and Singer. The approach for L1-SVM, L2-SVM, and multi-class SVM from Crammer and Singer is a dual coordinate descent method. We implement a trust region Newton method for LR and L2-SVM.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
URL: Project Homepage
JMLR MLOSS PaperURL: JMLR-MLOSS Paper Homepage
Supported Operating Systems: Cygwin, Linux, Windows, Macos
Data Formats: None
Tags: Svm, Classification, Support Vector Machines, Linear Svm, Large Scale Learning
Archive: download here

Comments

Zeno Gantner (on January 28, 2013, 16:05:56)

Software is now at version 1.93.

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