A new alpha seeding method for support vector machine training

被引：0
|
作者：
Feng, D [1 ]
Shi, WK [1 ]
Guo, HW [1 ]
Chen, LZ [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Sch Elect & Elect Engn, Shanghai 200030, Peoples R China
来源：
ADVANCES IN NATURAL COMPUTATION, PT 1, PROCEEDINGS | 2005年 / 3610卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to get good hyperparameters of SVM, user needs to conduct extensive cross-validation such as leave-one-out (LOO) cross-validation. Alpha seeding is often used to reduce the cost of SVM training. Compared with the existing schemes of alpha seeding, a new efficient alpha seeding method is proposed. Through some examples, its good performance has been proved. Interpretation from both geometrical and mathematical view is also given.
引用
下载
收藏
页码：679 / 682
页数：4
相关论文
共 50 条
  • [11] Method of Parallel Sequential Minimal Optimization for Fast Training Support Vector Machine
    Tian, Liyan
    Hu, Xiaoguang
    APPLIED MECHANICS AND MECHANICAL ENGINEERING, PTS 1-3, 2010, 29-32 : 947 - 951
  • [12] Momentum Sequential Minimal Optimization An accelerated method for support vector Machine training
    Barbero, Alvaro
    Dorronsoro, Jose R.
    2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2011, : 370 - 377
  • [13] A Combined Support Vector Machine and Support Vector Representation Machine Method for Production Control
    Acernese, Antonio
    Del Vecchio, Carmen
    Fenu, Gianfranco
    Glielmo, Luigi
    Pellegrino, Felice Andrea
    2019 18TH EUROPEAN CONTROL CONFERENCE (ECC), 2019, : 512 - 517
  • [14] 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
  • [15] A new nu-support vector machine for training sets with duplicate samples
    Jia, YS
    Jia, CY
    Qi, HW
    PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9, 2005, : 4370 - 4373
  • [16] A New Support Vector Machine Algorithm with Scalable Penalty Coefficients for Training Samples
    Zhang, Jian
    Zou, Jun-Zhong
    Chen, Lan-Lan
    Wang, Chunmei
    Wang, Min
    ADVANCES IN COGNITIVE NEURODYNAMICS (II), 2011, : 647 - 651
  • [17] A New Fuzzy Support Vector Machine Method for Named Entity Recognition
    Mansouri, Alireza
    Affendey, Lilly Suriani
    Mamat, Ali
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, 2008, : 24 - 28
  • [18] A New Method for Classifying Random Variables Based on Support Vector Machine
    Abaszade, Maryam
    Effati, Sohrab
    JOURNAL OF CLASSIFICATION, 2019, 36 (01) : 152 - 174
  • [19] A New Method for Classifying Random Variables Based on Support Vector Machine
    Maryam Abaszade
    Sohrab Effati
    Journal of Classification, 2019, 36 : 152 - 174
  • [20] A NEW METHOD FOR PEOPLE-COUNTING BASED ON SUPPORT VECTOR MACHINE
    Zhu, Fang
    Yang, Xinwei
    Gu, Junhua
    Yang, Ruixia
    2009 ASIA-PACIFIC CONFERENCE ON INFORMATION PROCESSING (APCIP 2009), VOL 1, PROCEEDINGS, 2009, : 109 - +
12345