Modeling method based on support vector machines within the Bayesian evidence framework

被引:0
|
作者
Yan, Wei-Wu [1 ]
Chang, Jun-Lin [1 ]
Shao, Hui-He [1 ]
机构
[1] Dept. of Automat., Shanghai Jiaotong Univ., Shanghai 200030, China
来源
Kongzhi yu Juece/Control and Decision | 2004年 / 19卷 / 05期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
7
引用
收藏
页码:525 / 528
相关论文
共 50 条
  • [1] Soft-sensor method based on least square support vector machines within Bayesian evidence framework
    Wang, Wei
    Wang, Tianmiao
    Wei, Hongxing
    Zhao, Hongming
    ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 3, PROCEEDINGS, 2007, 4493 : 535 - +
  • [2] The evidence framework applied to support vector machines
    Kwok, JTY
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2000, 11 (05): : 1162 - 1173
  • [3] A Study of The Weighted Least Squares Support Vector Machine within The Bayesian Evidence Framework
    Chen, Ruoxi
    Wang, Yunliang
    2016 IEEE/CSAA INTERNATIONAL CONFERENCE ON AIRCRAFT UTILITY SYSTEMS (AUS), 2016, : 616 - 619
  • [4] Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling
    Henao, Ricardo
    Yuan, Xin
    Carin, Lawrence
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 27 (NIPS 2014), 2014, 27
  • [5] Soft-sensor modeling method based on support vector machines
    Zhang, MG
    Yan, WW
    ICEMI 2005: CONFERENCE PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL 7, 2005, : 208 - 213
  • [6] Bayesian methods for support vector machines: Evidence and predictive class probabilities
    Sollich, P
    MACHINE LEARNING, 2002, 46 (1-3) : 21 - 52
  • [7] Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
    Peter Sollich
    Machine Learning, 2002, 46 : 21 - 52
  • [8] Financial time series prediction using least squares support vector machines within the evidence framework
    Van Gestel, T
    Suykens, JAK
    Baestaens, DE
    Lambrechts, A
    Lanckriet, G
    Vandaele, B
    De Moor, B
    Vandewalle, J
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2001, 12 (04): : 809 - 821
  • [9] Large Flow Compressed Air Load Forecasting Based on Least Squares Support Vector Machine within the Bayesian Evidence Framework
    Liu, Chong
    Kong, Dewen
    Fan, Zichuan
    Yu, Qihui
    Cai, Maolin
    39TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2013), 2013, : 7886 - 7891
  • [10] SUPPORT VECTOR REGRESSION VIA MCMC WITHIN EVIDENCE FRAMEWORK
    Zhou Yatong
    Li Jin
    Sun Jiancheng
    Zhang Bolun
    JournalofElectronics(China), 2012, 29 (06) : 530 - 533