LIBSVM: A Library for Support Vector Machines

被引：24701

作者：

Chang, Chih-Chung ^{[1
]}

Lin, Chih-Jen ^{[1
]}

机构：

[1] Natl Taiwan Univ, Dept Comp Sci, Taipei 106, Taiwan

来源：

ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY | 2011年 / 2卷 / 03期

基金：

美国国家科学基金会;

关键词：

Algorithms; Performance; Experimentation; Classification LIBSVM optimization regression support vector machines SVM; WORKING SET SELECTION;

D O I：

10.1145/1961189.1961199

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily apply SVM to their applications. LIBSVM has gained wide popularity in machine learning and many other areas. In this article, we present all implementation details of LIBSVM. Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail.

引用

页数：27

共 50 条

[41] An introduction to support vector machines
Schölkopf, B
RECENT ADVANCES AND TRENDS IN NONPARAMETRIC STATISTICS, 2003, : 3 - 17
[42] Faster Support Vector Machines
Schlag S.
Schmitt M.
Schulz C.
ACM Journal of Experimental Algorithmics, 2021, 26
[43] Binarized Support Vector Machines
Carrizosa, Emilio
Martin-Barragan, Belen
Morales, Dolores Romero
INFORMS JOURNAL ON COMPUTING, 2010, 22 (01) : 154 - 167
[44] Support vector regression machines
Drucker, H
Burges, CJC
Kaufman, L
Smola, A
Vapnik, V
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 9: PROCEEDINGS OF THE 1996 CONFERENCE, 1997, 9 : 155 - 161
[45] Support vector machines with applications
Moguerza, Javier M.
Munoz, Alberto
STATISTICAL SCIENCE, 2006, 21 (03) : 322 - 336
[46] Least Squares Support Vector Machines Based on Support Vector Degrees
Li, Lijuan
Li, Youfeng
Su, Hongye
Chu, Jian
INTELLIGENT COMPUTING, PART I: INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING, ICIC 2006, PART I, 2006, 4113 : 1275 - 1281
[47] Extractive Support Vector Algorithm on Support Vector Machines for Image Restoration
Yao, Chih-Chia
Yu, Pao-Ta
Hung, Ruo-Wei
FUNDAMENTA INFORMATICAE, 2009, 90 (1-2) : 171 - 190
[48] A new training method for support vector machines:: Clustering k-NN support vector machines
Comak, Emre
Arslan, Ahmet
EXPERT SYSTEMS WITH APPLICATIONS, 2008, 35 (03) : 564 - 568
[49] Algorithms for Sparse Support Vector Machines
Landeros, Alfonso
Lange, Kenneth
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 2023, 32 (03) : 1097 - 1108
[50] Utilizing Ellipsoid on Support Vector Machines
Yao, Chih-Chia
PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, : 3373 - 3378

← 1 2 3 4 5 →