Gene expression data classification using Laplacian eigenmap based on Improved maximum margin criterion

被引：0
|
作者：
机构：
[1] Wang, Nian
[2] Wang, Junsheng
[3] Ge, Fang
来源：
Wang, N. (wn_xlb@eihu.edu.cn) | 1600年 / Chinese Institute of Electronics卷 / 22期
关键词：
13;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Nonlinear face recognition based on maximum average margin criterion
    Zhang, BC
    Chen, XL
    Shan, SG
    Gao, W
    2005 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS, 2005, : 554 - 559
  • [42] Discriminant maximum margin criterion based on locality preserving projections
    Lin, Ke-Zheng
    Wang, Hui-Xin
    Bu, Xue-Na
    Lin, Sheng
    Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence, 2010, 23 (02): : 178 - 185
  • [43] Feature Extraction Based on Maximum Nearest Subspace Margin Criterion
    Chen, Yi
    Li, Zhenzhen
    Jin, Zhong
    NEURAL PROCESSING LETTERS, 2013, 37 (03) : 355 - 375
  • [44] Feature Extraction Based on Maximum Nearest Subspace Margin Criterion
    Yi Chen
    Zhenzhen Li
    Zhong Jin
    Neural Processing Letters, 2013, 37 : 355 - 375
  • [45] Cancer classification using gene expression data
    Lu, Y
    Han, JW
    INFORMATION SYSTEMS, 2003, 28 (04) : 243 - 268
  • [46] Cancer Classification Using Gene Expression Data
    Sonsare, Pravinkumar
    Mujumdar, Aarya
    Joshi, Pranjali
    Morayya, Nipun
    Hablani, Sachal
    Khergade, Vedant
    SMART TRENDS IN COMPUTING AND COMMUNICATIONS, VOL 1, SMARTCOM 2024, 2024, 945 : 1 - 11
  • [47] An improved FMM neural network for classification of gene expression data
    Juan, Liu
    Fei, Luo
    Yongqiong, Zhu
    FUZZY INFORMATION AND ENGINEERING, PROCEEDINGS, 2007, 40 : 65 - +
  • [48] A model based criterion for gene expression calls using RNA-seq data
    Günter P. Wagner
    Koryu Kin
    Vincent J. Lynch
    Theory in Biosciences, 2013, 132 : 159 - 164
  • [49] A model based criterion for gene expression calls using RNA-seq data
    Wagner, Guenter P.
    Kin, Koryu
    Lynch, Vincent J.
    THEORY IN BIOSCIENCES, 2013, 132 (03) : 159 - 164
  • [50] Classification of Microarray Gene Expression Data using Associative Classification
    Alagukumar, S.
    Lawrance, R.
    2016 INTERNATIONAL CONFERENCE ON COMPUTING TECHNOLOGIES AND INTELLIGENT DATA ENGINEERING (ICCTIDE'16), 2016,
12345