Tumor molecular classification based on genetic algorithms and support vector machines

被引：0
|
作者：
He, Aixiang
Zhu, Yunhua
An, Kai
机构：
[1] School of Information and Electronics Engineering, Shandong Institute of Business and Technology, Yantai 264005, China
[2] Shandong Institute of Aerospace Electronics, Yantai 264000, China
来源：
Shuju Caiji Yu Chuli/Journal of Data Acquisition and Processing | 2007年 / 22卷 / 01期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：84 / 89
相关论文
共 50 条
  • [1] Genetic algorithms and support vector machines for time series classification
    Eads, D
    Hill, D
    Davis, S
    Perkins, S
    Ma, JS
    Porter, R
    Theiler, J
    APPLICATIONS AND SCIENCE OF NEURAL NETWORKS, FUZZY SYSTEMS, AND EVOLUTIONARY COMPUTATION V, 2002, 4787 : 74 - 85
  • [2] Imbalanced data classification via support vector machines and genetic algorithms
    Cervantes, Jair
    Li, Xiaoou
    Yu, Wen
    CONNECTION SCIENCE, 2014, 26 (04) : 335 - 348
  • [3] Hybrid classification algorithms based on boosting and support vector machines
    Maia, Thiago Turchetti
    Braga, Antonio Padua
    de Carvalho, Andre F.
    KYBERNETES, 2008, 37 (9-10) : 1469 - 1491
  • [4] I)raining support vector machines based on genetic algorithms
    Yuan, XF
    Wang, YN
    ICCC2004: PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION VOL 1AND 2, 2004, : 1729 - 1735
  • [5] Semi-supervised multitemporal classification with support vector machines and genetic algorithms
    Ghoggali, Noureddine
    Melgani, Farid
    IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 2577 - 2580
  • [6] Comparative efficiency of algorithms based on support vector machines for binary classification
    Kadyrova N.O.
    Pavlova L.V.
    Biophysics, 2015, 60 (1) : 13 - 24
  • [7] Molecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines
    Peng, SH
    Xu, QH
    Ling, XB
    Peng, XN
    Du, W
    Chen, LB
    FEBS LETTERS, 2003, 555 (02) : 358 - 362
  • [8] Electronic Nose-Based Odor Classification using Genetic Algorithms and Fuzzy Support Vector Machines
    Taoping Liu
    Wentian Zhang
    Peter McLean
    Maiken Ueland
    Shari L. Forbes
    Steven W. Su
    International Journal of Fuzzy Systems, 2018, 20 : 1309 - 1320
  • [9] Electronic Nose-Based Odor Classification using Genetic Algorithms and Fuzzy Support Vector Machines
    Liu, Taoping
    Zhang, Wentian
    McLean, Peter
    Ueland, Maiken
    Forbes, Shari L.
    Su, Steven W.
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2018, 20 (04) : 1309 - 1320
  • [10] Parameter selection for support vector machines based on hybrid genetic algorithms
    Yan, Gen-Ting
    Li, Chuan-Jiang
    Ma, Guang-Fu
    Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2008, 40 (05): : 688 - 691
12345