Support vector machines

被引：133
|
作者：
Guenther, Nick [1 ,2 ]
Schonlau, Matthias [3 ]
机构：
[1] Univ Waterloo, Dept Stat, Waterloo, ON, Canada
[2] Univ Waterloo, Sch Comp Sci, Waterloo, ON, Canada
[3] Univ Waterloo, Dept Stat & Actuarial Sci, Waterloo, ON, Canada
来源：
STATA JOURNAL | 2016年 / 16卷 / 04期
关键词：
st0461; svmachines; svm; statistical learning; machine learning; support vector machines; TUTORIAL;
D O I：
10.1177/1536867X1601600407
中图分类号：
O1 [数学]; C [社会科学总论];
学科分类号：
03 ; 0303 ; 0701 ; 070101 ;
摘要：
Support vector machines are statistical-and machine-learning techniques with the primary goal of prediction. They can be applied to continuous, binary, and categorical outcomes analogous to Gaussian, logistic, and multinomial regression. We introduce a new command for this purpose, svmachines. This package is a thin wrapper for the widely deployed libsvm (Chang and Lin, 2011, ACM Transactions on Intelligent Systems and Technology 2(3): Article 27). We illustrate svmachines with two examples.
引用
收藏
页码：917 / 937
页数：21
相关论文
共 50 条
  • [21] Field Support Vector Machines
    Huang, Kaizhu
    Jiang, Haochuan
    Zhang, Xu-Yao
    PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON INTERNET OF THINGS AND MACHINE LEARNING (IML'17), 2017,
  • [22] Directional Support Vector Machines
    Pernes, Diogo
    Fernande, Kelwin
    Cardoso, Jaime S.
    APPLIED SCIENCES-BASEL, 2019, 9 (04):
  • [23] On coresets for support vector machines
    Tukan, Murad
    Baykal, Cenk
    Feldman, Dan
    Rus, Daniela
    THEORETICAL COMPUTER SCIENCE, 2021, 890 (890) : 171 - 191
  • [24] Analysis of support vector machines
    Abe, S
    NEURAL NETWORKS FOR SIGNAL PROCESSING XII, PROCEEDINGS, 2002, : 89 - 98
  • [25] Chunking with Support Vector Machines
    Kudo, T
    Matsumoto, Y
    2ND MEETING OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE, 2001, : 192 - 199
  • [26] Lagrangian support vector machines
    Mangasaian, OL
    Musicant, DR
    JOURNAL OF MACHINE LEARNING RESEARCH, 2001, 1 (03) : 161 - 177
  • [27] Support Vector Machines in R
    Karatzoglou, A
    Meyer, D
    Hornik, K
    JOURNAL OF STATISTICAL SOFTWARE, 2006, 15 (09):
  • [28] On transductive support vector machines
    Wang, Junhui
    Shen, Xiaotong
    Pan, Wei
    PREDICTION AND DISCOVERY, 2007, 443 : 7 - +
  • [29] Faster Support Vector Machines
    Schlag, Sebastian
    Sehmitt, Matthias
    Schulz, Christian
    2019 PROCEEDINGS OF THE MEETING ON ALGORITHM ENGINEERING AND EXPERIMENTS, ALENEX, 2019, : 199 - 210
  • [30] On Coresets for Support Vector Machines
    Tukan, Murad
    Baykal, Cenk
    Feldman, Dan
    Rus, Daniela
    THEORY AND APPLICATIONS OF MODELS OF COMPUTATION, TAMC 2020, 2020, 12337 : 287 - 299
12345