Simultaneous multiple parameters tuning in support vector learning

被引：0
|
作者：
机构：
[1] Ding, Li-Zhong
[2] Jia, Lei
[3] Liao, Shi-Zhong
来源：
Liao, Shi-Zhong | 1600年 / Chinese Academy of Sciences卷 / 25期
关键词：
Iterative methods;
D O I：
10.13328/j.cnki.jos.004650
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] A multiple criteria active learning method for support vector regression
    Demir, Beguem
    Bruzzone, Lorenzo
    PATTERN RECOGNITION, 2014, 47 (07) : 2558 - 2567
  • [32] Comparison of Deep Learning and Support Vector Machine Learning for Subgroups of Multiple Sclerosis
    Karaca, Yeliz
    Cattani, Carlo
    Moonis, Majaz
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2017, PT II, 2017, 10405 : 142 - 153
  • [33] Learning Distance Metric for Support Vector Machine: A Multiple Kernel Learning Approach
    Weiqi Zhang
    Zifei Yan
    Gang Xiao
    Hongzhi Zhang
    Wangmeng Zuo
    Neural Processing Letters, 2019, 50 : 2899 - 2923
  • [34] Learning Distance Metric for Support Vector Machine: A Multiple Kernel Learning Approach
    Zhang, Weiqi
    Yan, Zifei
    Xiao, Gang
    Zhang, Hongzhi
    Zuo, Wangmeng
    NEURAL PROCESSING LETTERS, 2019, 50 (03) : 2899 - 2923
  • [35] Efficient optimization of support vector machine learning parameters for unbalanced datasets
    Eitrich, Tatjana
    Lang, Bruno
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2006, 196 (02) : 425 - 436
  • [36] Least Square Support Vector Machine for the Simultaneous Learning of a Function and Its Derivative
    Zhang, Rui
    Liu, Guozhen
    ADVANCED RESEARCH ON ELECTRONIC COMMERCE, WEB APPLICATION, AND COMMUNICATION, PT 1, 2011, 143 : 427 - +
  • [37] General Dimensional Multiple-Output Support Vector Regressions and Their Multiple Kernel Learning
    Chung, Wooyong
    Kim, Jisu
    Lee, Heejin
    Kim, Euntai
    IEEE TRANSACTIONS ON CYBERNETICS, 2015, 45 (11) : 2572 - 2584
  • [38] A Semiproximal Support Vector Machine Approach for Binary Multiple Instance Learning
    Avolio, Matteo
    Fuduli, Antonio
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (08) : 3566 - 3577
  • [39] Tuning and Evolving Support Vector Machine Models
    Nalepa, Jakub
    Kawulok, Michal
    Dudzik, Wojciech
    MAN-MACHINE INTERACTIONS 5, ICMMI 2017, 2018, 659 : 418 - 428
  • [40] A study of tuning hyperparameters for support vector machines
    Quan, Y
    Yang, R
    Ye, CZ
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2003, PT 1, PROCEEDINGS, 2003, 2667 : 1006 - 1015
12345