Nonlinear regression in environmental sciences by support vector machines combined with evolutionary strategy

被引：0
|
作者：
Lima, Aranildo R. [1 ]
Cannon, Alex J. [1 ,2 ]
Hsieh, William W. [1 ]
机构：
[1] Department of Earth and Ocean Sciences, University of British Columbia, 6339 Stores Road, Vancouver, BC, V6T 1Z4, Canada
[2] Pacific Climate Impacts Consortium, University of Victoria, Uni-versity House1, PO Box 3060 Stn CSC, Victoria, BC, V8W3R4, Canada
来源：
Computers and Geosciences | 2013年 / 50卷
关键词：
Support vector regression;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：136 / 144
相关论文
共 50 条
  • [21] Evolutionary Support Vector Machines: A Dual Approach
    Dantas Dias, Madson Luiz
    Rocha Neto, Nalsnar R.
    2016 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2016, : 2185 - 2192
  • [22] Evolutionary design of multiclass support vector machines
    Lorena, Ana C.
    Carvalho, Andre C. P. L. F.
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2007, 18 (05) : 445 - 454
  • [23] An evolutionary approach to Transduction in Support Vector Machines
    Silva, MM
    Maia, TT
    Braga, AP
    HIS 2005: 5th International Conference on Hybrid Intelligent Systems, Proceedings, 2005, : 329 - 334
  • [24] Concerning the potential of evolutionary support vector machines
    Stoean, Ruxandra
    Pretiss, Mike
    Stoean, Catalin
    Dumitrescu, D.
    2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS, 2007, : 1436 - +
  • [25] Evolutionary support vector machines for spam filtering
    Stoean, Ruxandra
    Stoean, Catalin
    Preuss, Mike
    Dumitrescu, D.
    5TH ROEDUNET IEEE INTERNATIONAL CONFERENCE, PROCEEDINGS, 2006, : 261 - 265
  • [26] Evolutionary selection of kernels in Support Vector Machines
    Thadani, Kanchan
    Ashutosh
    Jayaraman, V. K.
    Sundararajan, V.
    2006 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATIONS, VOLS 1 AND 2, 2007, : 18 - +
  • [27] Regression Kernel for Prognostics with Support Vector Machines
    Mathew, Josey
    Luo, Ming
    Pang, Chee Khiang
    2017 22ND IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2017,
  • [28] On the noise model of Support Vector Machines Regression
    Pontil, M
    Mukherjee, S
    Girosi, F
    ALGORITHMIC LEARNING THEORY, PROCEEDINGS, 2000, 1968 : 316 - 324
  • [29] Ensembles of support vector machines for regression problems
    Lima, CAM
    Coelho, ALV
    Von Zuben, FJ
    PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3, 2002, : 2381 - 2386
  • [30] Smoothing support vector machines for ε-insensitive regression
    Xiong, Jinzhi
    Hu, Tianming
    Hu, Jinlian
    Li, Guangming
    Peng, Hong
    ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications, Vol 1, 2006, : 222 - 225
12345